IEEE International Conference on Communications
7-11 June 2020 // Virtual Conference
Communications Enabling Shared Understanding


Date: June 11, 2020

Time (Dublin time)






Keynote Speaker:  Jakob Hoydis (Nokia Bell Labs - FR/Paris-Saclay)

Title: Neural MIMO Detection: Recent Results and Future Directions

Abstract:  Multiuser MIMO detection is one of the most researched topics in wireless communications and a key building block of Massive MIMO systems. While there is a rich literature describing detectors that work well on Rayleigh fading channels, only few papers report performance results for strongly correlated channels that are likely to be found in practice. In such a setting, linear detectors are far from optimal so that it is worthwhile to study non-linear detection schemes having reasonable complexity. I will discuss recent advances in machine learning (ML)-based multiuser detection for Massive MIMO systems. First, I will describe the MMNet architecture which is based on deep unfolding of an iterative thresholding algorithm and then show how this architecture can be extended through a hyper network to adapt to various channel conditions without retraining. My talk will conclude with some outlook into future work and some general remarks concerning the potential of ML for MIMO detection.


Cellular Massive MIMO I: Live Q&A

  1. Design and Demonstration of a Scalable Massive MIMO Uplink at E-Band
  2. A Novel 3D Wideband Geometry-Based Channel Model for 5G Massive MIMO Vehicle-to-Vehicle Communications in Urban Merging Areas
  3. Uplink Power Control in Cellular Massive MIMO Systems: Coping With the Congestion Issue
  4. Two-Stage Hybrid Precoding in FDD Massive MIMO Systems with Low Rank Correlated Rician Fading Channels
  5. An Efficient Spatial Channel Covariance Estimation via Joint Angle-Delay Power Profile in Hybrid Massive MIMO Systems


Coffee Break


Cellular Massive MIMO II: Live Q&A

  1. A Communication Model for Large Intelligent Surfaces
  2. Processing Distribution and Architecture Tradeoff for Large Intelligent Surface Implementation
  3. Transmitter Design for Large Intelligent Surface-Assisted MIMO Wireless Communication with Statistical CSI
  4. Statistically-Aided Codebook-Based Hybrid Precoding for mmWave Massive MIMO Systems

12:15 – 14:30

Lunch Break





Keynote Speaker: Walid Saad

Tittle: Can Terahertz Communications Provide High-Rate Reliable Low Latency Communications in 6G Networks?

Abstract:  Communication at high-frequency terahertz (THz) bands is seen as a staple of the sixth generation (6G) of wireless cellular networks, due to the large amount of available bandwidth. However, 6G systems will have to support, not only high data rates, but also highly reliable communication links for emerging applications such as advanced wireless virtual reality (VR) systems. In particular, advanced wireless VR applications will impose new visual and haptic requirements that are directly linked to the quality-of-experience (QoE) of VR users. These QoE requirements can only be met by wireless 6G connectivity that offers high-rate and high-reliability low latency communications (HRLLC), unlike the low rates usually considered in vanilla 5G ultra-reliable low latency communication scenarios.  Guaranteeing HRLLC in THz-enabled 6G systems requires dealing with the uncertainty that is specific to the THz channel. Therefore, in this talk, after a brief overview on our vision of 6G systems, we will explore the potential of THz for meeting HRLLC requirements. In this regard, we first quantify the risk for an unreliable VR performance through a novel and rigorous characterization of the tail of the end-to-end (E2E) delay. Then, we perform a thorough analysis of the tail-value-at-risk (TVaR) to concretely characterize the behavior of extreme wireless events crucial to the real-time VR experience. We use this analysis to derive system reliability for scenarios with guaranteed line-of-sight (LoS)  as a function of THz network parameters. We then present simulation results that show how abundant bandwidth and low molecular absorption are necessary to improve the reliability, although their effect remains secondary compared to the availability of LoS, which significantly affects the THz HRLLC performance. We conclude our talk with an overview on other key open problems in the realms of THz communications and 6G systems.


Cell-Free Massive MIMO: Live Q&A

  1. Cell-Free Massive MIMO With Radio Stripes and Sequential Uplink Processing
  2. Trade-offs In Quasi-Decentralized Massive MIMO
  3. Graph Coloring Based Pilot Reuse Among Interfering Users in Cell-Free Massive MIMO
  4. Low-Complexity Distributed XL-MIMO for Multiuser Detection
  5. Efficient Receiver for Cell-Free Massive MIMO with Low-Resolution ADCs
  6. Distributed Joint Receiver Design for Uplink Cell-Free Massive MIMO
  7. New Insights on Channel Hardening in Cell-Free Massive MIMO Networks