Program Schedule

Date: June 9, 2024, Sunday, 8:30AM-5:30PM, Mountain Time  

Location: Governor's Square 14/Concourse Level  

Zoom meeting link  

Session 1: 8:30AM-10:15AM (Opening and Keynotes)

Location:  Governor's Square 14/Concourse Level  

Session Chair: Meilong Jiang (Qualcomm, USA)  

8:35AM-9:25AM   Keynote 1:  "Our Wireless Systems Operate Far From Any Limits Imposed By Nature: How Do We Close the Gap?"

 Prof. Thomas L Marzetta, NYU, USA

Abstract: 

"Our Wireless Systems Operate Far From Any Limits Imposed By Nature: How Do We Close the Gap?"
The field of wireless communication research needs people conversant in both information theory and electromagnetic theory. Virtually all engineers have learned electromagnetic theory via the physicist's way: scalar and vector potentials. the method of separation of variables, and special functions in cylindrical and spherical coordinates. There is a better way: the linear system approach to wave propagation which treats Maxwell's equations as descriptive of a linear space/time-invariant system, and relies on the familiar tools of space/time convolution and space/time Fourier transforms in Cartesian coordinates for their solution.
We re-examine some pervasive notions that hamper progress in our field:
- a wireless receiver antenna needs to extract positive real power from the electromagnetic field;
- the classical Shannon-theoretic formula, Eb/N0 > log 2, has physical meaning;
- Friis' definition of noise-figure embodies a fundamental physical principle;
- evanescent waves are useless for communication because they decay exponentially fast in space;
- a mathematical proof that something cannot be done should be regarded as inviolate.

Bio: Thomas Marzetta is Distinguished Industry Professor at NYU Tandon School of Engineering, ECE Department, and Director of NYU WIRELESS. Born in Washington, DC, he received the PhD and SB in Electrical Engineering from Massachusetts Institute of Technology in 1978 and 1972, and the MS in Systems Engineering from University of Pennsylvania in 1973.

Prior to joining NYU in 2017 he had three industrial research careers: petroleum exploration (Schlumberger-Doll Research, 1978–1987), defense (Nichols Research Corporation, 1987–1995), and telecommunications (Bell Labs, 1995–2017). At Bell Labs he directed the Communications and Statistical Sciences Department within the former Mathematical Sciences Research Center, and he was made a Bell Labs Fellow. He originated Massive MIMO, the most spectrally efficient wireless scheme yet devised and a foundation of the fifth generation of wireless. He is lead-author of the book “Fundamentals of Massive MIMO”.

Marzetta was elected a member of National Academy of Engineering in 2020. Additional recognition for his contributions to Massive MIMO include the 2019 Radio Club of America Armstrong Medal, the 2017 IEEE Communications Society Industrial Innovation Award, the 2015 IEEE Stephen O. Rice Prize, and the 2015 IEEE W. R. G. Baker Award. He was elected a Fellow of the IEEE in 2003 and he received an Honorary Doctorate from Linköping University, Sweden, in 2015.

9:25AM-10:15AM  Keynote 2: "Distributed MIMO for efficient communication and sensing" 

Prof. Fredrik Tufvesson, Lund University, Sweden (remote)

Abstract: Distributed MIMO has become one of the promising technologies for 6G, especially for the lower frequency bands. Besides providing highly reliable and energy efficient communication, the technology also offers inherent sensing capabilities with its many distributed coherent antenna elements. In the talk we will discuss principles, synchronization issues and demonstrate the potential for highly accurate positioning, sensing and reliable multiuser communication through realistic measurements.

Bio: Fredrik Tufvesson received his Ph.D. in 2000 from Lund University in Sweden. After two years at a startup company, he joined the department of Electrical and Information Technology at Lund University, where he is now professor of radio systems. His main research interest is the interplay between the radio channel and the rest of the communication system with various applications in 5G/B5G systems such as massive MIMO, mm wave communication, vehicular communication and radio-based positioning. Fredrik has authored around 110 journal papers, 175 conference papers, and is fellow of the IEEE.

Coffee break: 10:15AM-10:45AM

Session 2: 10:45AM-12:30PM (topic: RIS design and massive MIMO)

Location:  Governor's Square 14/Concourse Level  

Session Chair: Jiaqi Xu (University of California, Irvine, USA) 

1. Near Field Sensing using Extra-Large MIMO Arrays

2. Interference Randomization in Reconfigurable Intelligent Surface aided Communications

3. A Deep Reinforcement Learning Approach for Autonomous Reconfigurable Intelligent Surface

4. Fast Transition-Aware Reconfiguration of Liquid Crystal-based RISs

5. Self-supervised Contrastive Learning for 6G UM-MIMO THz Communications: Improving Robustness Under Imperfect CSI

Lunch break: 12:30PM-1:30PM

Session 3A: 1:30 PM-3:15PM (topic: RIS modeling, design, control, and applications) 

Location:  Governor's Square 14/Concourse Level  

Session Chair:  Emmanuel O Frimpong (George Mason University, USA) 

1. Reinforcement Learning for Antenna Selection and Optimization of Irregular Reconfigurable Intelligent Surfaces  

2. Optimal Semi-quasi-static Design for An IRS-aided PLS Wireless Communication System

3. Beamforming Design with Bilevel Optimization for RIS-Assisted SWIPT Systems

4. Joint Design for NOMA-based Cell-Free Networks with Dual-Sided Wireless-Powered RIS

5. Secure Transmission in Active RIS-Assisted Cell-Free MU-MISO Networks

6. Performance Evaluation of RIS-Assisted Spatial Modulation for Downlink Transmission

Session 3B:  1:30 PM - 3:15 PM   (Poster – interactive presentation)   

Location: Plaza Exhibit Foyer/Concourse Level 

Session Chair: Chun-Hung Liu (Mississippi State University, USA)  

1. RIS-Aided Interference Cancellation for Joint Device-to-Device and Cellular Communications

2. Robust Beamformer Design for Backscatter-Enabled RIS-Assisted NOMA ISAC

3. RIBCE: RIS-BS virtual array based Channel Estimation for mm-Wave communication system

4. Coded Random Access in Cell-Free Massive MIMO Networks with Access Point Signal Combining

Coffee break: 3:15 PM-3:45 PM

Session 4:      3:45 PM-5:30 PM (topic:  Cell Free Massive MIMO )  

Location:  Governor's Square 14/Concourse Level  

Session Chair:     Ly V. Nguyen (University of California Irvine, USA) 

1. RIS-Assisted Massive MIMO Systems: Performance Limits and Realizations

2. Model-Based Deep Learning for Massive Access in mmWave Cell-Free Massive MIMO System

3. Joint Uplink and Downlink Resource Allocation for Cell-Free Radio Access Network with Network-Assisted Free Duplex

4. Energy-Efficient Resource Allocation in Intelligent Reflecting Surface Aided Wireless Powered Mobile Edge Computing Systems

5. Performance Optimization for Multicast MmWave MIMO Networks with Mobile Users

6. Linear Compression-based Precoding for Massive MIMO Systems with Decentralized Baseband Processing