Regular Sessions

SPAWC21 has been moved to a virtual, on-demand conference and is hosting 7 regular sessions focusing on topics in signal processing for wireless communications. The list of pre-recorded presentations for on-demand viewing is given below:

 

S1 – Machine Learning for MIMO Communications

Chair: Stephan ten Brink (University of Stuttgart, Germany)

 

  • A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network
    Benedikt Fesl, Nurettin Turan, Michael Koller and Wolfgang Utschick (Technische Universität München, Germany)
  • Learning the CSI Denoising and Feedback Without Supervision
    Valentina Rizzello and Wolfgang Utschick (Technische Universität München, Germany)
  • Learning Enhanced Beamforming Vector From CQIs in 5G NR FDD Massive MIMO Systems: A Tuning-free Approach
    Kai Li (The Chinese University of Hongkong, Shenzhen, China); Ying Li (The Chinese University of Hong Kong, Shenzhen, China); Lei Cheng (Shenzhen Research Institute of Big Data, Chinese University of Hong Kong (Shenzhen), Hong Kong); Qingjiang Shi (Tongji University, China); Zhi-Quan Luo (University of Minnesota, USA)
  • Digital Twin-Aided Learning to Enable Robust Beamforming: Limited Feedback Meets Deep Generative Models
    Ying Li (The Chinese University of Hong Kong, Shenzhen, China); Kai Li (The Chinese University of Hongkong, Shenzhen, China); Lei Cheng (Shenzhen Research Institute of Big Data, Chinese University of Hong Kong (Shenzhen), Hong Kong); Qingjiang Shi (Tongji University, China); Zhi-Quan Luo (University of Minnesota, USA)
  • HyperRNN: Deep Learning-Aided Downlink CSI Acquisition via Partial Channel Reciprocity for FDD Massive MIMO
    Yusha Liu and Osvaldo Simeone (King’s College London, United Kingdom (Great Britain))
  • Adaptive Beam Tracking based on Recurrent Neural Networks for mmWave Channels
    Saeid Khalili Dehkordi (TU Berlin, Germany); Giuseppe Caire (Technische Universität Berlin, Germany); Mari Kobayashi (CentraleSupelec, France)

 

S2 – Signal Processing for MIMO Communications

Chair: Stefano Buzzi (University of Cassino and Lazio Meridionale/CNIT, Italy)

 

  • Optimal Downlink Training Sequence for Massive MIMO Secret-Key Generation
    François Rottenberg (KU Leuven, Belgium)
  • Multi-Vehicular Beam Space Learning for Channel Estimation in 6G V2X Systems
    Dario Tagliaferri (Politecnico di Milano, Italy); Marouan Mizmizi (Politecnico di Milano & None, Italy); Damiano Badini (Huawei Technologies Italia, Italy); Christian Mazzucco (Huawei Technologies, European Research Center, Italy); Umberto Spagnolini (Politecnico di Milano, Italy)
  • Antenna Efficiency in Massive MIMO Detection
    Ruichen Jiang (The University of Texas at Austin, USA); Ya-Feng Liu (Chinese Academy of Sciences, China)
  • Radio-Frequency Multi-Mode OAM Detection Based on UCA Samples Learning
    Jiabei Fan, Rui Chen and Wenxuan Long (Xidian University, China); Marco Moretti (Università di Pisa, Italy); Jiandong Li (Xidian University, China)
  • Optimal Receive Beamforming for Over-the-Air Computation
    Wenzhi Fang, Yinan Zou, Hongbin Zhu, Yuanming Shi and Yong Zhou (ShanghaiTech University, China)
  • Enhanced Signal Detection for 1-Bit ADC Massive SIMO Communications
    Doaa Abdelhameed (Aswan University, Japan & Tokyo University of Agriculture and Technology, Japan); Kenta Umebayashi (Tokyo University of Agriculture and Technology, Japan); Ahmed Al-Tahmeesschi (University of Helsinki, Finland); Italo Atzeni and Antti Tölli (University of Oulu, Finland)

 

S3 – Beamforming and interference mitigation

Chair: Antonio Alberto D’Amico (University of Pisa, Italy)

 

  • Symbol-Level Precoding Made Practical for Multi-Level Modulations via Block-Level Rescaling
    Ang Li (Xi’an Jiaotong University, China); Fan Liu (Southern University of Science and Technology, China); Xuewen Liao (Xi’an Jiaotong University, China); Yuanjun Shen and Christos Masouros (University College London, United Kingdom (Great Britain))
  • Spatial Distribution of Distortion due to Nonlinear Power Amplification in Distributed Massive MIMO
    François Rottenberg and Gilles Callebaut (KU Leuven, Belgium); Liesbet Van der Perre (KUL, Belgium)
  • Optimal Joint Beamforming and Power Control in Cell-Free Massive MIMO Downlink
    Mohamed Elwekeil (University of Cassino and Southern Lazio, Italy & Faculty of Electronic Engineering, Menoufia University, Egypt); Alessio Zappone (University of Cassino and Southern Lazio, Italy); Stefano Buzzi (University of Cassino and Lazio Meridionale/CNIT, Italy)
  • Memory Tricks: Improving Active Interference Cancellation for Out-of-Band power reduction in OFDM
    Khawar Hussain and Roberto López-Valcarce (Universidad de Vigo, Spain)
  • Fast Algorithm for Joint Unicast and Multicast Beamforming in Large-Scale Systems
    Shadi Mohammadi and Min Dong (Ontario Tech University, Canada); Shahram ShahbazPanahi (University of Ontario Institute of Technology, Canada)
  • Adaptive Estimation of Angular Power Spectra for Time-Varying MIMO Channels
    Navneet Agrawal (Technische Universität Berlin, Germany); Renato L. G. Cavalcante (Fraunhofer Heinrich Hertz Institute, Germany); Slawomir Stanczak (Technische Universität Berlin & Fraunhofer Heinrich Hertz Institute, Germany)

 

S4 – Relaying and reconfigurable intelligent surfaces

Chair: Özlem Tuğfe Demir (KTH Royal Institute of Technology, Sweden)

 

  • Machine Learning-based Reconfigurable Intelligent Surface-aided MIMO Systems
    Nhan Thanh Nguyen (University of Oulu, Finland); Ly V. Nguyen (San Diego State University, USA); Thien Huynh-The (Kumoh National Institute of Technology, Korea (South)); Duy H. N. Nguyen (San Diego State University, USA); Lee Swindlehurst (University of California at Irvine, USA); Markku Juntti (University of Oulu, Finland)
  • Weighted Sum-Rate Maximization for Multi-Hop RIS-Aided Multi-User Communications: A Minorization-Maximization Approach
    Zepeng Zhang and Ziping Zhao (ShanghaiTech University, China)
  • End-to-End Learning-based Two-Way AF Relay Networks with I/Q Imbalance
    Ankit Gupta (Heriot Watt University, United Kingdom (Great Britain)); Mathini Sellathurai (Heriot-Watt University, United Kingdom (Great Britain))
  • Interference-Constrained IRS-aided SWIPT
    Konstantinos Ntougias and Ioannis Krikidis (University of Cyprus, Cyprus)
  • On the Impact of Beam Misalignment in Reconfigurable Intelligent Surface Assisted THz Systems
    Evangelos N. Papasotiriou, Alexandros-Apostolos A Boulogeorgos and Angeliki Alexiou (University of Piraeus, Greece)
  • Deep Q Learning With Fourier Feature Mapping For Mobile Relay Beamforming Networks
    Spilios Evmorfos (Rutgers – The State University of New Jersey, USA); Konstantinos Diamantaras (International Hellenic University, Greece); Athina Petropulu (Rutgers, The State University of New Jersey, USA)

 

S5 – Signal processing and learning for networks

Chair: Joakim Jaldén (KTH Royal Institute of Technology, Sweden)

 

  • A Graph Federated Architecture with Privacy Preserving Learning
    Elsa Rizk (EPFL, Switzerland); Ali Sayed (Ecole Polytechnique Federale de Lausanne EPFL, School of Engineering, Switzerland)
  • Closed Form BER For ZF OTFS Receivers
    Khushboo Yadav and Prem Singh (Indian Institute of Technology Kanpur, India); Himanshu Bhusan Mishra (IIT (ISM) Dhanbad, India); Rohit Budhiraja (IIT Kanpur, India)
  • In-Network Learning via Over-the-Air Computation in Internet-of-Things
    Yao-Win Peter Hong and Chun-Chi Wang (National Tsing Hua University, Taiwan)
  • Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks
    Ivana Nikoloska and Osvaldo Simeone (King’s College London, United Kingdom (Great Britain))
  • The Transfer Function of Non-Stationary Indoor Channels and its Relationship to System Functions of LFMCW Radars
    Rym Hicheri, Nurilla Avazov, Muhammad Muaaz and Matthias Pätzold (University of Agder, Norway)
  • Minimizing Average On-Demand AoI in an IoT Network with Energy Harvesting Sensors
    Mohammad Hatami and Markus Leinonen (University of Oulu, Finland); Marian Codreanu (Linkoping University, Sweden)

 

S6 – Signal processing for communications

Chair: Martina Cardone (University of Minnesota, USA)

 

  • A Parallel Distributed Algorithm for the Power SVD Method
    Li JiaYing and Xiaoxiao Wu (Shenzhen University, China); Qiang Li (University of Electronic Science and Technology of China, China); Anna Scaglione (Arizona State University, USA)
  • Bayesian constrained decision fusion
    Panagiotis A. Traganitis and Georgios B. Giannakis (University of Minnesota, USA)
  • Cramér-Rao Lower Bound for Bayesian Estimation of Quantized MMV Sparse Signals
    Sai Subramanyam Thoota (Indian Institute of Science, Bangalore, India); Chandra R Murthy (Indian Institute of Science, India)
  • Single-Shot Compression for Hypothesis Testing
    Fabrizio Carpi, Siddharth Garg and Elza Erkip (New York University, USA)
  • Evaluating the communication advantage of the Superposition of Causal Orders
    Daniele Cuomo (University of Naples Federico II, Italy); Marcello Caleffi (University of Naples “Federico II”, Italy); Angela Sara Cacciapuoti (University of Naples Federico II, Italy)
  • Asymptotic CRB for Satellite based Localization
    Hodaya Halevi (Bar Ilan University, Israel)

 

S7 – Multiple access networks

Chair: Mari Kobayashi (Technische Universität München, Germany)

 

  • Access Delay Constrained Activity Detection in Massive Random Access
    Jyotish Robin (NYU WIRELESS, USA); Elza Erkip (New York University, USA)
  • Secure Low-power IoT Uplink Communication via Unsupervised Signal Alignment
    Mohamed Salah Ibrahim and Nikolaos D Sidiropoulos (University of Virginia, USA)
  • Power allocation in Uplink Multiband Satellite System with Nonlinearity-Aware Receiver
    Arthur Louchart (Télécom Paris & Institut Polytechnique de Paris, France); Philippe Ciblat (Telecom Paris & Institut Polytechnique de Paris, France); Charly Poulliat (INP – ENSEEIHT Toulouse, France)
  • Adaptive Coordinated Random Access For MTC With Correlated Traffic and Data Freshness
    Federico Moretto, Alessandro Brighente and Stefano Tomasin (University of Padova, Italy)
  • To Supervise or Not to Supervise: How to Effectively Learn Wireless Interference Management Models?
    Bingqing Song and Haoran Sun (University of Minnesota, USA); Wenqiang Pu (The Chinese University of Hong Kong, Shenzhen, China); Sijia Liu (Michigan State University, USA); Mingyi Hong (University of Minnesota, USA)