The recent developments in the research area indicate a significant shift towards more efficient and intelligent wireless communication systems. Key advancements include the integration of Reconfigurable Intelligent Surfaces (RIS) to enhance network performance, the adoption of massive Multiple-Input Multiple-Output (MIMO) systems for improved spectrum efficiency, and the exploration of new frequency ranges for higher data rates. There is also a growing focus on dynamic and adaptive algorithms for resource allocation and beam management, particularly in millimeter-wave (mmWave) and space division multiplexing (SDM) networks. Additionally, the field is witnessing innovations in iterative detection and decoding schemes, as well as in the development of new paradigms like Wireless Environmental Information Theory (WEIT) for proactive environment intelligence communication. These trends collectively aim to address the challenges of next-generation networks, including increased capacity, reduced latency, and enhanced energy efficiency. Notably, the integration of RIS in multi-hop relay networks and the development of ultra-wideband channel measurements are particularly noteworthy for their potential to significantly advance the field.
Efficient and Intelligent Wireless Communication Systems
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Spectrum and RAN Sharing: How to Avoid Cross-Subsidization While Taking Full Advantage of Massive MU-MIMO?
Contextual Combinatorial Beam Management via Online Probing for Multiple Access mmWave Wireless Networks
Study of Iterative Detection and Decoding for Multiuser Systems and MMSE Refinements with Active or Passive RIS
RMCSA Algorithm for Congestion-Aware and Service Latency Aware Dynamic Service Provisioning in Software-Defined SDM-EONs
Wireless Environmental Information Theory: A New Paradigm towards 6G Online and Proactive Environment Intelligence Communication
Ultra-wideband Double-Directionally Resolved Channel Measurements of Line-of-Sight Microcellular Scenarios in the Upper Mid-band