Technical Program (all times are shown in Eastern Daylight Time (EDT))

  Wednesday, May 27 Thursday, May 28 Friday, May 29
9:00 ‑ 10:00 PL01: Plenary 01 - Understanding Simple Optimization Algorithms for Big Data PL02: Plenary 02 - Learning to learn to communicate PL03: Plenary 03 - Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead
10:00 ‑ 12:00 RS01: Machine Learning for Communications I
RS02: Machine Learning for Communications II		 RS03: Network: Coverage, Lifetime, and Design
RS04: Multiple Acess and Networking
RS05: Resource Allocation		 RS12: Beamforming
RS13: Precoding and Transmission Design
12:00 ‑ 13:00      
13:00 ‑ 15:00 SS01: Special Session on Machine Learning for Communications
SS02: Special Session on Distributed Learning and Control for Future Wireless Networks		 RS06: Signal Processing for Communications
RS07: Pilot Design and Detection
RS08: Sparsity and Compressive Sensing		 SS06: Special Session on Communications and Positioning Using Reconfigurable Intelligent Surfaces
SS07: Special Session on Reconfigurable Intelligent Surface Assisted MIMO Wireless Communications
SS08: Special Session on Recent Advances in Beyond Massive MIMO Technologies
15:00 ‑ 17:00 SS03: Special Session on the Fundamentals of Machine Learning over Networks (MLoNs)
SS04: Special Session on the Interplay between Machine Learning and Resource Management in Wireless Networks		 RS09: Performance Analysis
RS10: Coding, Capacity, Caching and Control
RS11: Security
SS05: Special Session on New Statistics Problems Emerging in Wireless		 SS09: Special Session on Recent Advances in Prototyping and Experimentation for Wireless Communications
SS10: Special Session on Signal Processing Advances for Emerging Transceiver Hardware
SS11: Special Session on System and Transceiver Design for mmWave and Terahertz Communication Systems

Wednesday, May 27

Wednesday, May 27 9:00 - 10:00

PL01: Plenary 01 - Understanding Simple Optimization Algorithms for Big Data

Chair: Zhengdao Wang (Iowa State University, USA)

Abstract

In this talk I will describe how simple optimization algorithms for big data can behave erratically or oscillate for nonconvex problems. We introduce a simple randomization strategy to ensure convergence in the mean square sense. We also use an exponential averaging scheme to eliminate oscillation and ensure convergence to a stationary point for nonconvex problems.

Biography

Tom Luo received the B.S. degree in applied mathematics from Peking University, Beijing, China, and the Ph.D. degree in operations research from Massachusetts Institute of Technology, Cambridge, MA, USA, in 1989. From 1989 to 2003, he held a faculty position with the ECE Department of McMaster University, Canada. He held a tier-1 Canada Research Chair in information processing from 2001 to 2003. After that, he has been a Full Professor with the ECE Department, University of Minnesota and held an endowed ADC Chair in digital technology. He is currently the Vice President (Academic) with the Chinese University of Hong Kong (Shenzhen) and the Director of Shenzhen Research Institute of Big Data (SRIBD). He has authored more than 200 refereed papers, books and special issues. His research mainly addresses mathematical issues in information sciences, with particular focus on the design, analysis and applications of large-scale optimization algorithms. He is a fellow of SIAM and is selected to the Royal Society of Canada. He was the recipient of four best paper awards from the IEEE Signal Processing Society, one best paper award from EUSIPCO, the Farkas Prize from INFORMS and the prize of Paul Y. Tseng Memorial Lectureship in Continuous Optimization as well as some best paper awards from international conferences. He was an Associate Editor for many internationally recognized journals and the Editor-in-Chief for the IEEE Transactions on Signal Processing.

Wednesday, May 27 10:00 - 12:00

RS01: Machine Learning for Communications I

Chair: Joakim Jaldén (KTH Royal Institute of Technology, Sweden)
Jointly Sparse Support Recovery via Deep Auto-encoder with Applications in MIMO-based Grant-Free Random Access for mMTC
Wanqing Zhang and Shuaichao Li (Shanghai Jiao Tong University, China); Ying Cui (Shanghai Jiaotong University, China)
Bayesian Link Adaptation under a BLER Target
Vidit Saxena (KTH Royal Institute of Technology & Ericsson Research, Sweden); Joakim Jaldén (KTH Royal Institute of Technology, Sweden)
Direction-of-Arrival Estimation in the Low-SNR Regime via a Denoising Autoencoder
Georgios K. Papageorgiou and Mathini Sellathurai (Heriot-Watt University, United Kingdom (Great Britain))
Resource Allocation in Wireless Control Systems via Deep Policy Gradient
Vinicius Lima (University of Pennsylvania, USA); Mark Eisen (Intel Corporation, USA); Konstantinos Gatsis (University of Oxford, United Kingdom (Great Britain)); Alejandro Ribeiro (University of Pennsylvania, USA)
Deep Learning Approaches for Open Set Wireless Transmitter Authorization
Samer Hanna and Samurdhi Karunaratne (University of California, Los Angeles, USA); Danijela Cabric (University of California Los Angeles, USA)
Constructing Radio Maps for UAV Communications via Dynamic Resolution Virtual Obstacle Maps
Botao Zhang and Junting Chen (The Chinese University of Hong Kong, Shenzhen, China)
Adaptive Multi-Hierarchical signSGD for Communication-Efficient Distributed Optimization
Haibo Yang, Xin Zhang, Minghong Fang and Jia Liu (Iowa State University, USA)
Joint Design of Measurement Matrix and Sparse Support Recovery Method via Deep Auto-Encoder
Shuaichao Li and Wanqing Zhang (Shanghai Jiao Tong University, China); Ying Cui (Shanghai Jiaotong University, China); Hei Victor Cheng and Wei Yu (University of Toronto, Canada)

RS02: Machine Learning for Communications II

Chair: Mats Bengtsson (KTH Royal Institute of Technology, Sweden)
Wireless link adaptation with outdated CSI -- a hybrid data-driven and model-based approach
Lissy Pellaco (KTH Royal Institute of Technology, Sweden); Vidit Saxena (KTH Royal Institute of Technology & Ericsson Research, Sweden); Mats Bengtsson and Joakim Jaldén (KTH Royal Institute of Technology, Sweden)
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning
Navid Naderializadeh (HRL Laboratories, USA); Jerry Sydir (Intel Labs, USA); Meryem Simsek (Intel Labs & International Computer Science Institute, USA); Hosein Nikopour (Intel Corporation, USA)
Energy-Efficient Ultra-Dense Network using Deep Reinforcement Learning
Hyungyu Ju and Seungnyun Kim (Seoul National University, Korea (South)); YoungJoon Kim and Hyojin Lee (Samsung Research, Korea (South)); Byonghyo Shim (Seoul National University, Korea (South))
Self-Learning Detector for the Cell-Free Massive MIMO Uplink: The Line-of-Sight Case
Giovanni Interdonato (Linköping University & Ericsson AB, Sweden); Pål Frenger (Ericsson Research, Ericsson AB, Sweden); Erik G. Larsson (Linköping University, Sweden)
Anomaly Detection Under Controlled Sensing Using Actor-Critic Reinforcement Learning
Geethu Joseph, M. Cenk Gursoy and Pramod Varshney (Syracuse University, USA)
RL-Based Interference Mitigation in Uncoordinated Networks with Partially Overlapping Tones
Mrugen Deshmukh, Md Moin Uddin Chowdhury and Sung Joon Maeng (North Carolina State University, USA); Alphan Şahin (University of South Carolina, USA); Ismail Güvenç (North Carolina State University, USA)
Variational Hierarchical Posterior Matching for mmWave Wireless Channels Online Learning
Nabil Akdim (APPLE, Germany); Carles Navarro Manchón (Aalborg University, Denmark); Mustapha Benjillali (INPT, Morocco); Pierre Duhamel (Lss Supelec & CNRS, France)

Wednesday, May 27 13:00 - 15:00

SS01: Special Session on Machine Learning for Communications

Chair: Marwa Chafii (ENSEA, France)
Compressed Representation of High Dimensional Channels using Deep Generative Networks
Akash S Doshi (The University of Texas at Austin, USA); Eren Balevi (University of Texas at Austin, USA); Jeffrey Andrews (The University of Texas at Austin, USA)
High Rate Communication over One-Bit Quantized Channels via Deep Learning and LDPC Codes
Eren Balevi (University of Texas at Austin, USA); Jeffrey Andrews (The University of Texas at Austin, USA)
Deep HyperNetwork-Based MIMO Detection
Mathieu Goutay (Nokia Bell Labs France, France); Fayçal Ait Aoudia and Jakob Hoydis (Nokia Bell Labs, France)
Team Deep Mixture of Experts for Distributed Power Control
Matteo Zecchin (Eurecom, France); David Gesbert (Eurecom Institute, France); Marios Kountouris (EURECOM, France)
VAE for Joint Source-Channel Coding of Distributed Gaussian Sources over AWGN MAC
Yashas Malur Saidutta (Georgia Insitute of Technology, USA); Afshin Abdi and Faramarz Fekri (Georgia Institute of Technology, USA)
End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning
Sangwoo Park (Korea Advanced Institute of Science and Technology, Korea (South)); Osvaldo Simeone (King's College London, United Kingdom (Great Britain)); Joonhyuk Kang (KAIST, Korea (South))
Joint Channel Coding and Modulation via Deep Learning
Yihan Jiang (University of Washington, Seattle, USA); Hyeji Kim (Samsung AI Center Cambridge, United Kingdom (Great Britain)); Himanshu Asnani (Tata Institute of Fundamental Research, Mumbai, India & University of Washington, Seattle, USA); Sreeram Kannan (University of Washington Seattle, USA); Sewoong Oh (University of Illinois at Urbana-Champaign, USA); Pramod Viswanath (University of Illinois, Urbana-Champaign, USA)
Neural Mutual Information Estimation for Channel Coding: State-of-the-Art Estimators, Analysis, and Performance Comparison
Rick Fritschek and Rafael F. Schaefer (Technische Universität Berlin, Germany); Gerhard Wunder (Freie Universität Berlin & Heisenberg Communications and Information Theory Group, Germany)
Joint Device-Edge Inference over Wireless Links with Pruning
Mikolaj Jankowski, Deniz Gündüz and Krystian Mikolajczyk (Imperial College London, United Kingdom (Great Britain))

SS02: Special Session on Distributed Learning and Control for Future Wireless Networks

Chair: Kenza Hamidouche (Princeton University, USA)
Distributed Deep Variational Information Bottleneck
Abdellatif Zaidi (Université Paris-Est, France); Inaki Estella (Huawei Technologies Co., Ltd., France)
Performance Optimization of Federated Learning over Mobile Wireless Networks
Mingzhe Chen and H. Vincent Poor (Princeton University, USA); Walid Saad (Virginia Tech, USA); Shuguang Cui (The Chinese University of Hong Kong, Shenzhen & Shenzhen Research Institute of Big Data, China)
Analog Compression and Communication for Federated Learning over Wireless MAC
Afshin Abdi (Georgia Institute of Technology, USA); Yashas Malur Saidutta (Georgia Insitute of Technology, USA); Faramarz Fekri (Georgia Institute of Technology, USA)
Optimal Number of Edge Devices in Distributed Learning Over Wireless Channels
Jaeyoung Song and Marios Kountouris (EURECOM, France)
Decentralized Federated Learning via SGD over Wireless D2D Networks
Hong Xing (Shenzhen University, China & King's College London, United Kingdom (Great Britain)); Osvaldo Simeone (King's College London, United Kingdom (Great Britain)); Suzhi Bi (Shenzhen University, China)
Predictive Control and Communication Co-Design: A Gaussian Process Regression Approach
Abanoub M. Girgis (University of Oulu, Finland & Ain-Shams University, Egypt); Jihong Park (Deakin University, Australia); Chen-Feng Liu (Centre for Wireless Communications, University of Oulu, Finland); Mehdi Bennis (Centre of Wireless Communications, University of Oulu, Finland)

Wednesday, May 27 15:00 - 17:00

SS03: Special Session on the Fundamentals of Machine Learning over Networks (MLoNs)

Chair: Hossein Shokri Ghadikolaei (KTH Royal Institute of Technology, Sweden)
Generalization Error for Linear Regression under Distributed Learning
Martin Hellkvist, Ayca Ozcelikkale and Anders Ahlén (Uppsala University, Sweden)
Ordered Gradient Approach for Communication-Efficient Distributed Learning
Yicheng Chen (Lehigh University, USA); Brian Sadler (Army Research Laboratory, USA); Rick Blum (Lehigh University, USA)
Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning
Semih Yagli, Alex Dytso and H. Vincent Poor (Princeton University, USA)
Machine Learning over Networks: Co-design of Distributed Optimization and Communications
Afsaneh Mahmoudi and Hossein Shokri Ghadikolaei (KTH Royal Institute of Technology, Sweden); Carlo Fischione (KTH, Sweden)
Dynamic Federated Learning
Elsa Rizk (EPFL, Switzerland); Stefan Vlaski (University of California, Los Angeles, USA); Ali Sayed (Ecole Polytechnique Federale de Lausanne EPFL, School of Engineering, Switzerland)
Data-Driven Predictive Scheduling in Ultra-Reliable Low-Latency Industrial IoT: A Generative Adversarial Network approach
Chen-Feng Liu (Centre for Wireless Communications, University of Oulu, Finland); Mehdi Bennis (Centre of Wireless Communications, University of Oulu, Finland)

SS04: Special Session on the Interplay between Machine Learning and Resource Management in Wireless Networks

Chair: Mark Eisen (Intel Corporation, USA)
Deep Learning Based Resource Allocation: How Much Training Data is Needed?
Karl-Ludwig Besser (Technische Universität Braunschweig, Germany); Bho Matthiesen (University of Bremen, Germany); Alessio Zappone (University of Cassino and Southern Lazio, Italy); Eduard Jorswieck (Technische Universität Braunschweig, Germany)
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks
Navid Naderializadeh (HRL Laboratories, USA); Mark Eisen (Intel Corporation, USA); Alejandro Ribeiro (University of Pennsylvania, USA)
Resource Management and Fairness for Federated Learning over Wireless Edge Networks
Ravikumar Balakrishnan, Mustafa Akdeniz, Sagar Dhakal and Nageen Himayat (Intel Corporation, USA)
FedAir: Towards Multi-hop Federated Learning Over-the-Air
Pinyarash Pinyoanuntapong (UNC Charlotte, USA); Prabhu Janakaraj (University of North Carolina Charlotte, USA); Minwoo Lee (UNC Charlotte, USA); Pu Wang (University of North Carolina at Charlotte, USA); Chen Chen (University of North Carolina, USA)
A Clustering Approach to Wireless Scheduling
Wei Cui and Wei Yu (University of Toronto, Canada)

Thursday, May 28

Thursday, May 28 9:00 - 10:00

PL02: Plenary 02 - Learning to learn to communicate

Chair: Jitendra Tugnait (Auburn University, USA)

Abstract

The application of supervised learning techniques for the design of the physical layer of a communication link is often impaired by the limited amount of pilot data available for each device; while the use of unsupervised learning is typically limited by the need to carry out a large number of training iterations. In this talk, meta-learning, or learning-to-learn, is introduced as a tool to alleviate these problems. First, we will review statistical learning results that yield insights into the conditions under which meta-learning -- that is, the transfer of knowledge from a set of tasks to an arbitrary related task -- can be guaranteed to operate as desired. Then, the talk will consider an Internet-of-Things (IoT) scenario in which devices transmit sporadically using short packets with few pilot symbols over a fading channel. The number of pilots is generally insufficient to obtain an accurate estimate of the end-to-end channel, which includes the effects of fading and of the transmission-side distortion. To tackle this problem, pilots from previous IoT transmissions are used as meta-training data in order to train a demodulator that is able to quickly adapt to new end-to-end channel conditions from few pilots. Various state-of-the-art meta-learning schemes are adapted to the problem at hand and evaluated, including MAML, FOMAML, REPTILE, and CAVIA. Both offline and online solutions are developed.

Biography

Osvaldo Simeone is a Professor of Information Engineering with the Centre for Telecommunications Research at the Department of Engineering of King's College London, where he directs the King's Communications, Learning and Information Processing lab. He received an M.Sc. degree (with honors) and a Ph.D. degree in information engineering from Politecnico di Milano, Milan, Italy, in 2001 and 2005, respectively. From 2006 to 2017, he was a faculty member of the Electrical and Computer Engineering (ECE) Department at New Jersey Institute of Technology (NJIT), where he was affiliated with the Center for Wireless Information Processing (CWiP). His research interests include information theory, machine learning, wireless communications, and neuromorphic computing. Dr Simeone is a co-recipient of the 2019 IEEE Communication Society Best Tutorial Paper Award, the 2018 IEEE Signal Processing Best Paper Award, the 2017 JCN Best Paper Award, the 2015 IEEE Communication Society Best Tutorial Paper Award and of the Best Paper Awards of IEEE SPAWC 2007 and IEEE WRECOM 2007. He was awarded a Consolidator grant by the European Research Council (ERC) in 2016. His research has been supported by the U.S. NSF, the ERC, the Vienna Science and Technology Fund, as well as by a number of industrial collaborations. He currently serves in the editorial board of the IEEE Signal Processing Magazine and is the vice-chair of the Signal Processing for Communications and Networking Technical Committee of the IEEE Signal Processing Society. He was a Distinguished Lecturer of the IEEE Information Theory Society in 2017 and 2018. Dr Simeone is a co-author of two monographs, two edited books published by Cambridge University Press, and more than one hundred research journal papers. He is a Fellow of the IET and of the IEEE.

Thursday, May 28 10:00 - 12:00

RS03: Network: Coverage, Lifetime, and Design

Chair: Italo Atzeni (University of Oulu, Finland)
A Tractable Model for Coverage in Non-full Interference Cellular Networks with Cell Center/Edge Users
Mohammadreza Mardani and Philippe Mary (Univ Rennes, INSA Rennes, CNRS, IETR, France); Jean-Yves Baudais (IETR & CNRS, France)
A Tractable Coverage Analysis in Dynamic Downlink Cellular Networks
Qiong Liu (Univ. Rennes, INSA, IETR, Rennes, France); Jean-Yves Baudais (IETR, CNRS, Rennes, France); Philippe Mary (Univ. Rennes, INSA, IETR, Rennes, France)
Lifetime Maximization for UAV-assisted Data Gathering Networks in the Presence of Jamming
Ali Rahmati, Seyyedali Hosseinalipour and Ismail Güvenç (North Carolina State University, USA); Huaiyu Dai (NC State University, USA); Arupjyoti (Arup) Bhuyan (INL, USA)
Stochastic Geometry Analysis and Design of Wireless Powered MTC Networks
Sergi Liesegang (Universitat Politècnica de Catalunya, Spain); Olga Muñoz-Medina (Technical University of Catalonia, Spain); Antonio Pascual-Iserte (Universitat Politècnica de Catalunya, Spain)

RS04: Multiple Acess and Networking

Chair: Yindi Jing (University of Alberta, Canada)
Statistical QoS Provisioning Over Cell-Free M-MIMO-NOMA Based 5G+ Mobile Wireless Networks in the Non-Asymptotic Regime
Xi Zhang and Jingqing Wang (Texas A&M University, USA); H. Vincent Poor (Princeton University, USA)
Average Power Analysis and User Clustering Design for MISO-NOMA Systems
Zeyu Sun (University of ALberta, Canada); Yindi Jing (University of Alberta, Canada)
An Algorithm for Grant-Free Random Access in Cell-Free Massive MIMO
Unnikrishnan Kunnath Ganesan, Emil Björnson and Erik G. Larsson (Linköping University, Sweden)
Fog-Based Detection for Random-Access IoT Networks with Per-Measurement Preambles
Rahif Kassab and Osvaldo Simeone (King's College London, United Kingdom (Great Britain)); Petar Popovski (Aalborg University, Denmark)
Network Slicing for Service-Oriented Networks with Flexible Routing and Guaranteed E2E Latency
Wei-Kun Chen (Beijing Institute of Technology, China); Ya-Feng Liu (Chinese Academy of Sciences, China); Antonio De Domenico (CEA-LETI Minatec, France); Zhi-Quan Luo (University of Minnesota, USA)
Energy Efficiency Optimization in UAV-Assisted Communications and Edge Computing
Yang Yang and M. Cenk Gursoy (Syracuse University, USA)

RS05: Resource Allocation

Chair: Navid Reyhanian (University of Minnesota, USA)
Resource Reservation in Backhaul and Radio Access Network with Uncertain User Demands
Navid Reyhanian (University of Minnesota, USA); Hamid Farmanbar (Huawei Technologies Canada Co., Ltd., Canada); Zhi-Quan Luo (University of Minnesota, China)
Resource Provisioning for Virtual Network Function Deployment with In-Subnetwork Processing
Navid Reyhanian (University of Minnesota, USA); Hamid Farmanbar (Huawei Technologies Canada Co., Ltd., Canada); Soheil Mohajer (University of Minnesota, USA); Zhi-Quan Luo (University of Minnesota, China)
Resource-Aware Control via Dynamic Pricing for Congestion Game with Finite-Time Guarantees
Ezra Tampubolon and Haris Ceribasic (Technische Universität München, Germany); Holger Boche (Technical University Munich, Germany)
Multi-Armed Bandit for Edge Computing in Dynamic Networks with Uncertainty
Saeed Ghoorchian and Setareh Maghsudi (Technische Universität Berlin, Germany)

Thursday, May 28 13:00 - 15:00

RS06: Signal Processing for Communications

Chair: Ismail Güvenç (North Carolina State University, USA)
Handover-Count based Velocity Estimation of Cellular-Connected UAVs
Md Moin Uddin Chowdhury, Priyanka Sinha and Ismail Güvenç (North Carolina State University, USA)
A Frequency-Domain EP-based Receiver for Faster-Than-Nyquist Signaling
Titouan Petitpied (Thales group & IMS Laboratory, France); Romain Tajan (Bordeaux INP & IMS Laboratory, France); Pascal Chevalier (CNAM, France); Guillaume Ferré (University of Bordeaux, France); Sylvain Traverso (Thales Communications, France)
Direction of Arrival Estimation of Digital Sources With Uni-Vector-Sensor ESPRIT
Daniel Tait, Jianyuan Yu, William Howard and Michael Buehrer (Virginia Tech, USA)
Low Complexity Joint OMP Methods for FDD Channel Estimation in Massive MIMO Systems
Navneet Garg (The University of Edinburgh, United Kingdom (Great Britain)); Mathini Sellathurai (Heriot-Watt University, United Kingdom (Great Britain)); Tharmalingam Ratnarajah (The University of Edinburgh, United Kingdom (Great Britain))
Delay-locking: Unraveling Multiple Unknown Signals in Unknown Multipath
Mohamed Salah Ibrahim and Nikolaos D Sidiropoulos (University of Virginia, USA)
Low-complexity Linear Equalization for \(2\times 2\) MIMO-OTFS Signals
Surabhi Garudangiri Dayanand (Indian Institute of Science, Bangalore, India); A. Chockalingam (Indian Institute of Science, India)
Joint Channel Estimation and Localization for Cooperative Millimeter Wave Systems
Xi Yang (Southeast University, China); Chao-Kai Wen (National Sun Yat-sen University, Taiwan); Shi Jin (Southeast University, China); Lee Swindlehurst (University of California at Irvine, USA); Jing Zhang (Southeast University & National Mobile Communications Research Lab, China)
Fingerprinting-Based Outdoor Localization with 28-GHz Channel Measurement: A Field Study
Haijian Sun (University of Wisconsin-Whitewater, USA); Pu Wang, Milutin Pajovic and Toshiaki Koike-Akino (Mitsubishi Electric Research Laboratories (MERL), USA); Philip Orlik (Mitsubishi Electric Research Laboratories, USA); Akinori Taira (Mitsubishi Electric Corp., Japan); Kenji Nakagawa (Mitsubishi Electric Corporation, Japan)

RS07: Pilot Design and Detection

Chair: Shengli Zhou (University of Connecticut, USA)
Minimizing Pilot Overhead in Cell-Free Massive MIMO Systems via Joint Estimation and Detection
Haochuan Song (National Mobile Communications Research Laboratory, Southeast University, China); Xiaohu You (National Mobile communication Research Lab., Southeast University, China); Chuan Zhang (National Mobile Communications Research Laboratory, Southeast University, China); Olav Tirkkonen (Aalto University, Finland); Christoph Studer (Cornell University and Cornell Tech, USA)
MAP-Based Pilot State Detection in Grant-Free Random Access for mMTC
Dongdong Jiang (Shanghai Jiao Tong University, China); Ying Cui (Shanghai Jiaotong University, China)
Pilot Tone Insertion and Utilization in Unique Word OFDM
Christian Hofbauer (Silicon Austria Labs GmbH, Austria); Werner Haselmayr and Mario Huemer (Johannes Kepler University Linz, Austria)
Interference-Precancelled Pilot Design for LMMSE Channel Estimation of GFDM
Ching-Lun Tai, Borching Su and Cai Jia (National Taiwan University, Taiwan)
A Covariance-based User Activity Detection and Channel Estimation Approach with Novel Pilot Design
Lei Cheng (Shenzhen Research Institute of Big Data, Chinese University of Hong Kong (Shenzhen), Hong Kong); Liang Liu (The Hong Kong Polytechnic University, China); Shuguang Cui (The Chinese University of Hong Kong, Shenzhen & Shenzhen Research Institute of Big Data, China)
Comparison of Orthogonal vs. Union of Subspace Based Pilots for Multi-Cell Massive MIMO Systems
Anubhab Chowdhury (Indian Institute of Science Bangalore, India); Pradip Sasmal (Indian Institute of Technology Hyderabad, India); Chandra R Murthy (Indian Institute of Science, India)

RS08: Sparsity and Compressive Sensing

Chair: Karim Abed-Meraim (University of Orleans & PRISME Lab., France)
Identifying Unused RF Channels Using Least Matching Pursuit
Emre Gönültaş, Milad Taghavi, Sweta Soni and Alyssa Apsel (Cornell University, USA); Christoph Studer (Cornell University and Cornell Tech, USA)
On the Role of Sparsity and Intra-vector Correlation in mmWave Channel Estimation
Dheeraj Prasanna and Chandra R Murthy (Indian Institute of Science, India)
Large-Scale MIMO Receiver Based on Finite-Alphabet Sparse Detection and Concave-Convex Optimization
Yacine Meslem (Ecole Militaire Polytechnique, Algeria); Abdeldjalil Aïssa-El-Bey (IMT Atlantique, France); Mustapha Djeddou (Military Polytechnic School, Algeria)
Semi-blind Sparse Channel Estimation and Data Detection by Successive Convex Approximation
Ouahbi Rekik (Université Paris 13 Sorbonne Paris Cité & L2TI, Institut Galilée, France); Karim Abed-Meraim (University of Orleans & PRISME Lab., France); Marius Pesavento (Technische Universität Darmstadt & Merckstr. 25, Germany); Anissa Mokraoui (Université Paris 13, Sorbone Paris Cité & Institut Galilée, L2TI, France)
Measurement Bounds for Compressed Sensing with Missing Data
Geethu Joseph and Pramod Varshney (Syracuse University, USA)
Compressed-Sensing based Beam Detection in 5G NR Initial Access
Junmo Sung and Brian L Evans (The University of Texas at Austin, USA)

Thursday, May 28 15:00 - 17:00

RS09: Performance Analysis

Chair: Sudip Biswas (Indian Institute of Information Technology, Guwahati, India)
A Class of Lower Bounds for Bayesian Risk with a Bregman Loss
Alex Dytso, Michael Fauß and H. Vincent Poor (Princeton University, USA)
Performance Analysis of Cache Aided Hybrid mmWave & sub-6 GHz Massive MIMO Networks
Tong Zhang (The University of Edinburgh, United Kingdom (Great Britain)); Sudip Biswas (Indian Institute of Information Technology, Guwahati, India); Tharmalingam Ratnarajah (The University of Edinburgh, United Kingdom (Great Britain))
On Providing the Theoretical EVM Limit for Tone Reservation PAPR Reduction Technique
Mariam ElHassan (Lebanese University, Lebanon); Matthieu Crussière (IETR - Electronics and Telecommunications Research Institute of Rennes (IETR) & INSA - National Institute of Applied Sciences, France); Jean-François Hélard (IETR, France); Youssef Nasser (American University of Beirut, USA); Oussama Bazzi (Lebanese University, Lebanon)
The Effects of Narrowband Interference on OCDM
Muhammad Shahmeer Omar and Xiaoli Ma (Georgia Institute of Technology, USA)
Analyses for Age of Information Supporting URLLC Over Multimedia Wireless Networks
Xi Zhang (Texas A&M University, USA); Qixuan Zhu (Texas A&M University, USA); H. Vincent Poor (Princeton University, USA)

RS10: Coding, Capacity, Caching and Control

Chair: Soheil Mohajer (University of Minnesota, USA)
Modified Inverse Source Coding for Diffusion Based Molecular Communication System
D Balaji and G. Thavasi Raja (National Institute of Technology (NIT) Trichy, India); Maurizio Magarini (Politecnico di Milano, Italy)
Upper and Lower Bounds of Constrained Capacity in Diffusion-based Molecular Communication
Francesca Ratti, Fardad Vakilipoor and Maurizio Magarini (Politecnico di Milano, Italy); Hamdan Awan (TSSG, Waterford Institute of Technology, Ireland)
Practical scheme for MISO Cache-Aided Communication
Itsik Bergel (Bar Ilan University, Israel); Soheil Mohajer (University of Minnesota, USA)
Linear Receiver Design for Time-Varying Poisson Molecular Communication Channels with Memory
Fardad Vakilipoor, Francesca Ratti and Maurizio Magarini (Politecnico di Milano, Italy); Hamdan Awan (TSSG, Waterford Institute of Technology, Ireland)
Difficulty Prediction for Proof-of-Work Blockchains
Kaiwen Zheng (Georgia Institute of Technology, USA); Shulai Zhang (Shanghai Jiao Tong University, China); Xiaoli Ma (Georgia Institute of Technology, USA)
Active Status Update Packet Drop Control in an Energy Harvesting Node
Parisa Rafiee and Omur Ozel (George Washington University, USA)
Coded Caching with Uneven Channels: A Quality of Experience Approach
MohammadJavad Salehi and Antti Tölli (University of Oulu, Finland); Seyed Pooya Shariatpanahi (University of Tehran, Iran)
Hyper Binning for Distributed Function Coding
Derya Malak (Rensselaer Polytechnic Institute, USA); Muriel Médard (MIT, USA)

RS11: Security

Chair: Yingbo Hua (University of California, Riverside, USA)
Interaction-based Detection Strategy Against Probabilistic SSDF Attack in CSS Network
Zhixu Cheng (Southeast University, China); Jing Zhang (Southeast University & National Mobile Communications Research Lab, China); Tiecheng Song (National Mobile Communications Research Laboratory, Southeast University, China); Jing Hu (Southest University, PRC, China); Xu Bao (Jiangsu University, China)
Orthogonal STBC Set Building and Physical Layer Security Application
Michael Cribbs, Ric Romero and Tri Ha (Naval Postgraduate School, USA)
Unconditional Secrecy and Computational Complexity against Wireless Eavesdropping
Yingbo Hua (University of California, Riverside, USA); Ahmed Maksud (University of California Riverside, USA)
Precoder Design for mmWave UAV Communications with Physical Layer Security
Sung Joon Maeng, Yavuz Yapıcı and Ismail Güvenç (North Carolina State University, USA); Huaiyu Dai (NC State University, USA); Arupjyoti (Arup) Bhuyan (INL, USA)

SS05: Special Session on New Statistics Problems Emerging in Wireless

Chair: Alex Dytso (Princeton University, USA)
mmWave Channel Estimation via Approximate Message Passing with Side Information
Dror Baron (North Carolina State University, USA); Cynthia Rush (Columbia University, USA); Yavuz Yapıcı (North Carolina State University, USA)
Learning the Wireless Interference Graph via Local Probes
Ali Tajer (Rensselaer Polytechnic Institute, USA); Guangtao Zheng (University of Science and Technology of China, China)
Optimal Quickest Change Detection in Sensor Networks Using Ordered Transmissions
Yicheng Chen and Rick Blum (Lehigh University, USA); Brian Sadler (Army Research Laboratory, USA)
Joint Channel Assignment And Power Allocation for Multi-UAVs Communication Systems
Lingyun Zhou and Yihong Dong (Tongji University, China); Mingyi Hong (University of Minnesota, USA); Qingjiang Shi (Tongji University, China)

Friday, May 29

Friday, May 29 9:00 - 10:00

PL03: Plenary 03 - Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead

Chair: Justin P Coon (University of Oxford, United Kingdom (Great Britain))

Abstract

What is a reconfigurable intelligent surface? What is a smart radio environment? What is a metasurface? How do metasurfaces work and how to model them? How to reconcile the mathematical theories of communication and electromagnetism? What are the most suitable uses and applications of reconfigurable intelligent surfaces in wireless networks? What are the most promising smart radio environments for wireless applications? What is the current state of research? What are the most important and challenging research issues to tackle?

These are a few of the many questions that the Plenary Speaker will address during the Plenary Talk at the 2020 IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPWAC). In particular, the Plenary Speaker will introduce the audience to the emerging research field of smart radio environments empowered by reconfigurable intelligent surfaces, will put forth the need of reconciling and reuniting C. E. Shannon's mathematical theory of communication with G. Green's and J. C. Maxwell's mathematical theories of electromagnetism, and will unveil pragmatic guidelines and recipes for employing appropriate physics-based models of metasurfaces in wireless communications.

The Plenary Talk is based on the 70-page opus recently published by the Plenary Speaker, which is available for download on arXiv:2004.09352.

Biography

Marco Di Renzo was born in L'Aquila, Italy, in 1978. He received the Laurea (cum laude) and Ph.D. degrees in electrical engineering from the University of L'Aquila, Italy, in 2003 and 2007, respectively, and the Habilitation a Diriger des Recherches (Doctor of Science) degree from University Paris-Sud, France, in 2013. Since 2010, he has been with the French National Center for Scientific Research (CNRS), where he is a CNRS Research Director (CNRS Professor) in the Laboratory of Signals and Systems (L2S) of Paris-Saclay University - CNRS and CentraleSupelec, Paris, France. He is a Nokia Foundation Visiting Professor at Aalto University, Helsinki, Finland, and an Honorary Professor at University Technology Sydney, Sydney, Australia. He serves as the Editor-in-Chief of IEEE Communications Letters. He served as an Editor of IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Communications Letters, and as the Associate Editor-in-Chief of IEEE Communications Letters. He is a Distinguished Lecturer of the IEEE Vehicular Technology Society and IEEE Communications Society. He is a recipient of several awards, including the 2013 IEEE-COMSOC Best Young Researcher Award for Europe, Middle East and Africa, the 2013 NoE-NEWCOM# Best Paper Award, the 2014-2015 Royal Academy of Engineering Distinguished Visiting Fellowship, the 2015 IEEE Jack Neubauer Memorial Best System Paper Award, the 2015 CNRS Award for Excellence in Research and Ph.D. Supervision, the 2016 MSCA Global Fellowship (declined), the 2017 SEE-IEEE Alain Glavieux Award, the 2018 IEEE-COMSOC Young Professional in Academia Award, and 8 Best Paper Awards at IEEE conferences (2012 and 2014 IEEE CAMAD, 2013 IEEE VTC-Fall, 2014 IEEE ATC, 2015 IEEE ComManTel, 2017 IEEE SigTelCom, EAI 2018 INISCOM, IEEE ICC 2019). He is a Highly Cited Researcher according to Clarivate Analytics and Web of Science, and a Fellow of the IEEE.

Friday, May 29 10:00 - 12:00

RS12: Beamforming

Chair: Daniel Romero (University of Agder, Norway)
Low-Complexity Limited-Feedback Deep Hybrid Beamforming for Broadband Massive MIMO
Ahmet M Elbir (Duzce University, Turkey); Kumar Vijay Mishra (United States Army Research Laboratory, USA)
Dependability Enhancements for Transmission over MISO TWDP Fading Channels
Stefan Schwarz (TU Wien & CD-Lab Society in Motion, Austria); Markus Rupp (TU Wien, Austria)
3D Beamforming with Multi-Active Multi-Passive Antenna Arrays Using Stochastic Optimization
Georgios K. Papageorgiou and Mathini Sellathurai (Heriot-Watt University, United Kingdom (Great Britain)); Dimitrios K. Ntaikos (Athens Information Technology, Greece); Constantinos B. Papadias (The American College of Greece, Greece)
Frequency Invariant Beampatterns for Wideband Synthetic Aperture Channel Sounders
Peter G Vouras (National Institute of Standards and Technology, USA); Jeanne Quimby, Benjamin F Jamroz, Alec Weiss, Rodney Leonhardt, Dylan Williams and Kate A. Remley (NIST, USA)
Robust Transmit Beamforming for Underlay D2D Communications on Multiple Channels
Mohamed Elnourani, Siddharth Deshmukh, Baltasar Beferull-Lozano and Daniel Romero (University of Agder, Norway)
Online MIMO Wireless Network Virtualization over Time-Varying Channels with Periodic Updates
Juncheng Wang and Ben Liang (University of Toronto, Canada); Min Dong (Ontario Tech University, Canada); Gary Boudreau (Ericsson, Canada)

RS13: Precoding and Transmission Design

Chair: Gregori Vazquez (Technical University of Catalonia, Spain)
A Message Transmission Scheme for Linear Time-Varying Multipath Channels
Alihan Kaplan (Technical University of Munich, Germany); Volker Pohl (Technische Universität München, Germany); Dae Gwan Lee (Katholische Universität Eichstätt-Ingolstadt, Germany)
Distributed Precoding Design for Cell-Free Massive MIMO Systems
Bikshapathi Gouda, Italo Atzeni and Antti Tölli (University of Oulu, Finland)
Boosting SWIPT via Symbol-Level Precoding
Sumit Gautam and Jevgenij Krivochiza (University of Luxembourg, Luxembourg); Alireza Haqiqatnejad (University of Luxembourg & Interdisciplinary Centre for Security, Reliability and Trust (SnT), Luxembourg); Symeon Chatzinotas (University of Luxembourg, Luxembourg); Björn Ottersten (University of Luxembourg, Luxembourg)
Array-Geometry Invariant Signaling for MISO Feedforward Opportunistic Communications
Jordi Borras and Gregori Vazquez (Technical University of Catalonia, Spain)

Friday, May 29 13:00 - 15:00

SS06: Special Session on Communications and Positioning Using Reconfigurable Intelligent Surfaces

Chair: Markku Juntti (University of Oulu, Finland)
Intelligent Reflecting Surface Assisted Massive MIMO Communications
Zhaorui Wang (The Hong Kong Polytechnic University, Hong Kong); Liang Liu (The Hong Kong Polytechnic University, China); Shuguang Cui (The Chinese University of Hong Kong, Shenzhen & Shenzhen Research Institute of Big Data, China)
Intelligent Reflecting Surface Aided Multiple Access: Capacity Region and Deployment Strategy
Shuowen Zhang and Rui Zhang (National University of Singapore, Singapore)
Advanced Physical-layer Security as an App in Programmable Wireless Environments
Fotios Mathioudakis (Foundation for Research and Technology - Hellas (FORTH), Greece); Christos Liaskos (Institute of Computer Science, Foundation of Research and Technology, Hellas, Greece); Ageliki Tsioliaridou (Foundation for Research and Technology, FORTH, Greece); Shuai Nie (Georgia Institute of Technology, USA); Andreas Pitsillides (University of Cyprus, Cyprus); Sotiris Ioannidis (Foundation for Research and Technology - Hellas, Greece); Ian F. Akyildiz (Georgia Institute of Technology, USA)
On the Rate and Energy Efficiency Comparison of Reconfigurable Intelligent Surfaces with Relays
Konstantinos Ntontin (NCSR Demokritos, Institute of Informatics and Telecommunications, Greece); Marco Di Renzo (CentraleSupelec-University, France); Fotis Lazarakis (NCSR Demokritos, Institute of Informatics & Telecommunications, Greece)
Deep Reinforcement Learning for Intelligent Reflecting Surfaces: Towards Standalone Operation
Abdelrahman Taha and Yu Zhang (Arizona State University, USA); Faris B Mismar (The University of Texas at Austin, USA); Ahmed Alkhateeb (Arizona State University, USA)
Capacity Improvement in Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network
Zijian Zhang and Linglong Dai (Tsinghua University, China)

SS07: Special Session on Reconfigurable Intelligent Surface Assisted MIMO Wireless Communications

Chair: Chenhao Qi (Southeast University, China)
Optimizing Over-the-Air Computation in IRS-Aided C-RAN Systems
Daesung Yu and Seok-Hwan Park (Jeonbuk National University, Korea (South)); Osvaldo Simeone (King's College London, United Kingdom (Great Britain)); Shlomo (Shitz) Shamai (The Technion, Israel)
Resource Allocation for Intelligent Reflecting Surface-Assisted Cognitive Radio Networks
Dongfang Xu (University of Erlangen-Nuremberg, Germany); Xianghao Yu (Friedrich-Alexander-University Erlangen-Nuremberg, Germany); Robert Schober (Friedrich-Alexander University Erlangen-Nuremberg, Germany)
Analytical Modeling of the Path-Loss for Reconfigurable Intelligent Surfaces -- Anomalous Mirror or Scatterer ?
Marco Di Renzo (Paris-Saclay University / CNRS, France); Fadil Danufane (CentraleSupelec, France); Xiaojun Xi (CNRS, France); Julien de Rosny (CNRS, ESPCI Paris, PSL Research University, France); Sergei Tretyakov (Aalto University, Finland)
Channel Estimation for Reconfigurable Intelligent Surface Aided Massive MIMO System
Jinming Zhang and Chenhao Qi (Southeast University, China); Ping Li and Ping Lu (ZTE Corporation, China)
Design and Implementation of MIMO Transmission through Reconfigurable Intelligent Surface
Wankai Tang, Jun Yan Dai and Ming Zheng Chen (Southeast University, China); Kai Kit Wong (University College London, United Kingdom (Great Britain)); Xiao Li, Xinsheng Zhao and Shi Jin (Southeast University, China); Qiang Cheng (Southeastu University, China); Tie Jun Cui (Southeast University, China)
A Hybrid Intelligent Reflecting Surface with Graphene-based Control Elements for THz Communications
Arjun Singh (Northeastern Unvierstiy, USA); Michael Andrello (AFRL, USA); Erik Einarsson (University at Buffalo, USA); Ngwe Thawdar (Air Force Research Laboratory, USA); Josep M Jornet (Northeastern University, USA)

SS08: Special Session on Recent Advances in Beyond Massive MIMO Technologies

Chair: Luca Sanguinetti (University of Pisa, Italy)
Optimal Beamforming for MISO Communications via Intelligent Reflecting Surfaces
Xianghao Yu (Friedrich-Alexander-University Erlangen-Nuremberg, Germany); Dongfang Xu (University of Erlangen-Nuremberg, Germany); Robert Schober (Friedrich-Alexander University Erlangen-Nuremberg, Germany)
Active-Load Assisted Symbiotic Radio System in Cognitive Radio Network
Ruizhe Long and Ying-Chang Liang (University of Electronic Science and Technology of China, China); Yiyang Pei (Singapore Institute of Technology, Singapore); Erik G. Larsson (Linköping University, Sweden)
Model-driven Deep Learning Based Turbo-MIMO Receiver
Jing Zhang (Southeast University & National Mobile Communications Research Lab, China); Hengtao He and Xi Yang (Southeast University, China); Chao-Kai Wen (National Sun Yat-sen University, Taiwan); Shi Jin (Southeast University, China); Xiaoli Ma (Georgia Institute of Technology, USA)
Learning Beam Codebooks with Neural Networks: Towards Environment-Aware mmWave MIMO
Yu Zhang, Muhammad Alrabeiah and Ahmed Alkhateeb (Arizona State University, USA)
WGAN-based Autoencoder Training Over-the-air
Sebastian Dörner, Marcus Henninger, Sebastian Cammerer and Stephan ten Brink (University of Stuttgart, Germany)

Friday, May 29 15:00 - 17:00

SS09: Special Session on Recent Advances in Prototyping and Experimentation for Wireless Communications

Chair: Stefan Schwarz (TU Wien & CD-Lab Society in Motion, Austria)
Measurement-based Double-Directional Polarimetric Characterization of Outdoor Massive MIMO Propagation Channels at 3.5GHz
Le Hao and José Rodríguez-Piñeiro (Tongji University, China); Xuesong Cai (Aalborg University, Denmark); Xuefeng Yin and Jingxiang Hong (Tongji University, China); Gert Pedersen (Aalborg University, Denmark); Stefan Schwarz (TU Wien & CD-Lab Society in Motion, Austria)
Channel Rank Analysis of an Outdoor-to-Indoor Massive MIMO Measurement
Daniel Schützenhöfer, Stefan Pratschner, Herbert Groll and Markus Rupp (TU Wien, Austria)
Modeling the Distributed MU-MIMO OAI 5G testbed and group-based OTA calibration performance evaluation
Theoni Magounaki (EURECOM, France)
An Open-Source LoRa Physical Layer Prototype on GNU Radio
Joachim Tapparel (EPFL, Switzerland); Orion Afisiadis (École Polytechnique Fédérale de Lausanne, Switzerland); Paul Mayoraz (EPFL, Switzerland); Alexios Balatsoukas-Stimming (Eindhoven University of Technology, The Netherlands); Andreas Burg (EPFL, Switzerland)
OTFS Modulation and Influence of Wideband RF Impairments Measured at 60 GHz Testbed
Roman Marsalek and Jiri Blumenstein (Brno University of Technology, Czech Republic); Daniel Schützenhöfer (TU Wien, Austria); Martin Pospíšil (Brno University of Technology, Czech Republic)

SS10: Special Session on Signal Processing Advances for Emerging Transceiver Hardware

Chair: George C. Alexandropoulos (University of Athens, Greece)
Degrees of Freedom of Holographic MIMO Channels
Andrea Pizzo (New York University, USA); Thomas Marzetta (New York University, Tandon School of Engineering, USA); Luca Sanguinetti (University of Pisa, Italy)
Linear Precoder Design for Physical Layer Security via Reconfigurable Intelligent Surfaces
Gayan Amarasuriya (Southern Illinois University, USA); Rafael F. Schaefer (Technische Universität Berlin, Germany); H. Vincent Poor (Princeton University, USA)
Full Duplex Hybrid A/D Beamforming with Reduced Complexity Multi-Tap Analog Cancellation
George C. Alexandropoulos (University of Athens, Greece); Md Atiqul Islam and Besma Smida (University of Illinois at Chicago, USA)
Centralized Single FPGA Real Time Zero Forcing Massive MIMO 5G Basestation Hardware and Gateware
Andreas Benzin (Technische Universitaet Berlin, Germany); Giuseppe Caire (Technische Universität Berlin, Germany); Dennis Osterland (TU Berlin, Germany); Maksim Dill (Technische Universitaet Berlin, Germany)

SS11: Special Session on System and Transceiver Design for mmWave and Terahertz Communication Systems

Chair: Christoph Studer (Cornell University and Cornell Tech, USA)
Coordinated Uplink Precoding for Spatially Consistent mmWave Channel Covariance Measurements
Hanan Al-Tous, Parham Kazemi and Olav Tirkkonen (Aalto University, Finland)
Multi-array Designs for MmWave and Sub-THz Communication to UAVs
William Xia (New York University, USA); Vasilii Semkin (VTT Technical Research Centre of Finland, Finland); Marco Mezzavilla (NYU Tandon School of Engineering, USA); Giuseppe Loianno (NYU, USA); Sundeep Rangan (New York University, USA)
Design of Millimeter-Wave Single-Shot Beam Training for True-Time-Delay Array
Veljko Boljanovic and Han Yan (University of California, Los Angeles, USA); Erfan Ghaderi, Deukhyoun Heo and Subhanshu Gupta (Washington State University, USA); Danijela Cabric (University of California Los Angeles, USA)
Sparsity-Adaptive Beamspace Channel Estimation for 1-Bit mmWave Massive MIMO Systems
Alexandra Gallyas-Sanhueza and Seyed Hadi Mirfarshbafan (Cornell University, USA); Ramina Ghods (Carnegie Mellon University, USA); Christoph Studer (Cornell University and Cornell Tech, USA)
Scalable Nonlinear Multiuser Detection for mmWave Massive MIMO
Mohammed Abdelghany, Maryam Eslami Rasekh and Upamanyu Madhow (University of California, Santa Barbara, USA)
On the Effect of Mutual Coupling in One-Bit Spatial Sigma-Delta Massive MIMO Systems
Hessam Pirzadeh (University of California, Irvine, USA); Lee Swindlehurst (University of California at Irvine, USA); Gonzalo Seco-Granados (Universitat Autonoma de Barcelona, Spain); Josef A. Nossek (TU Munich, Germany & Federal University of Ceara, Fortaleza, Brazil)
Deep Learning-based Carrier Frequency Offset Estimation with One-Bit ADCs
Ryan M. Dreifuerst (University of Texas at Austin, USA); Robert Heath (The University of Texas at Austin, USA); Mandar N. Kulkarni (Samsung Research America, USA); Jianzhong Zhang (Samsung, USA)



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