The field of wireless communication is moving towards the development of more efficient and secure systems. Researchers are exploring new architectures, such as distributed antenna systems and hybrid optical-RF systems, to improve the performance and reliability of wireless networks. The use of machine learning and signal processing techniques is also becoming increasingly popular for tasks such as jamming detection and channel estimation. Additionally, there is a growing interest in integrated sensing and communication systems, which can simultaneously transmit data and sense the environment. Noteworthy papers include: Achievable Rates for a Distributed Antenna System with No Channel State Information at the Central Processor, which derives achievable rates for a diamond network with no channel state information at the central processor. From Link Diversity to Cross-Band Feedback Collaboration: A New Perspective on Hybrid Optical-RF Systems, which proposes a novel architecture that exploits the optical downlink feedback to facilitate adaptive RF uplink coding.
Advancements in Wireless Communication Systems
Sources
Achievable Rates for a Distributed Antenna System with No Channel State Information at the Central Processor
Stochastic Channel Models for Satellite Mega-Constellations
Cooperative Jamming Detection Using Low-Rank Structure of Received Signal Matrix
Distributed Iterative ML and Message Passing for Grant-Free Cell-Free Massive MIMO Systems
Distributed Average Consensus in Wireless Multi-Agent Systems with Over-the-Air Aggregation
Secure Integrated Sensing and Communication Networks: Stochastic Performance Analysis
From Link Diversity to Cross-Band Feedback Collaboration: A New Perspective on Hybrid Optical-RF Systems