The field of wireless communication is moving towards increased use of massive MIMO (Multiple-Input Multiple-Output) and Integrated Sensing and Communication (ISAC) systems. These systems offer significant improvements in terms of spectral efficiency, energy efficiency, and sensing capabilities. Recent research has focused on optimizing the performance of these systems through advanced signal processing techniques, novel antenna designs, and machine learning algorithms. Notably, the use of reconfigurable intelligent surfaces (RIS) and pinching-antenna technology has shown great promise in enhancing the flexibility and reconfigurability of wireless propagation environments. Furthermore, the development of low-complexity and energy-efficient algorithms for channel estimation, beamforming, and resource allocation has been a key area of research. Overall, the field is rapidly advancing towards the development of more efficient, secure, and reliable wireless communication systems. Noteworthy papers in this area include 'CovertAuth: Joint Covert Communication and Authentication in MmWave Systems' which proposes a novel secure framework for mmWave systems, and 'Introducing Meta-Fiber into Stacked Intelligent Metasurfaces for MIMO Communications' which presents a new design for stacked intelligent metasurfaces that reduces the number of layers and enhances energy efficiency.
Advancements in MIMO and ISAC Systems
Sources
Evaluating the Performance of Reconfigurable Intelligent Base Stations through Ray Tracing
CovertAuth: Joint Covert Communication and Authentication in MmWave Systems
A joint channel estimation and beamforming separation principle for massive MIMO systems
Joint Traffic Reshaping and Channel Reconfiguration in RIS-assisted Semantic NOMA Communications
Backscatter Device-aided Integrated Sensing and Communication: A Pareto Optimization Framework
Joint Access Point Activation and Power Allocation for Cell-Free Massive MIMO Aided ISAC Systems
Introducing Meta-Fiber into Stacked Intelligent Metasurfaces for MIMO Communications: A Low-Complexity Design with only Two Layers
Wi-Fi: Twenty-Five Years and Counting
Lightweight Deep Learning-Based Channel Estimation for RIS-Aided Extremely Large-Scale MIMO Systems on Resource-Limited Edge Devices
Efficient RF Chain Selection for MIMO Integrated Sensing and Communications: A Greedy Approach
Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation
Improved Differential Evolution for Enhancing the Aggregated Channel Estimation of RIS-Aided Cell-Free Massive MIMO
Fine-Grained Coordinated OFDMA With Fiber Backhaul Enabled by openwifi and White Rabbit
Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach
Standards-Compliant DM-RS Allocation via Temporal Channel Prediction for Massive MIMO Systems
Sub-Connected Hybrid Beamfocusing Design for RSMA-Enabled Near-Field Communications with Imperfect CSI and SIC
Robust Resource Allocation for Pinching-Antenna Systems under Imperfect CSI
Robust Beamforming Design for Secure Near-Field ISAC Systems
Secure Pinching Antenna-aided ISAC
Analytical Optimization for Antenna Placement in Pinching-Antenna Systems