Adaptive Beam Tracking in RIS-Assisted Mobile Communication Systems Using Active Sensing and Deep Learning
This paper proposes a deep learning framework that leverages recurrent neural networks and graph neural networks to adaptively design the RIS sensing vectors and reflection coefficients, as well as the AP beamformers, in order to maintain reliable communications with multiple mobile user equipments.
능동 RIS 지원 대규모 MIMO 시스템에서의 불완전 CSI 및 위상 잡음 영향 분석
능동 RIS 지원 대규모 MIMO 시스템에서 불완전 CSI와 위상 잡음이 시스템 성능에 미치는 영향을 분석하고, 이를 바탕으로 시스템 성능 향상을 위한 최적화 기법을 제안한다.
Optimal Resource Allocation Design for Discrete Phase Shift IRS-Assisted Multiuser Networks with Perfect and Imperfect Channel State Information
The authors propose optimal and suboptimal resource allocation algorithms to minimize the total transmit power of an IRS-assisted multiuser network while guaranteeing the quality-of-service requirements of each user, considering both perfect and imperfect channel state information.
Downlink Channel Estimation Improves Spectral Efficiency in Cell-Free Massive MIMO with Multi-Antenna Users
Downlink pilots and channel estimation can significantly improve the spectral efficiency of cell-free massive MIMO systems with multi-antenna users, compared to the conventional approach without channel state information at the receiver.
RIS 지원 공생 무선 통신 시스템의 용량 영역에 대한 연구
RIS 지원 공생 무선 통신 시스템에서 1) 1차 및 2차 전송의 최대 달성 가능 전송률을 분석하고, 2) 이를 바탕으로 M-MAC 용량 영역을 특성화한다.
RIS支援型共生無線通信システムの容量領域に関する研究
RIS支援型共生無線通信システムにおいて、RISの受動的ビームフォーミングと能動的な情報伝送を活用することで、一次信号と二次信号が乗算的かつ加算的に重畳される新しい乗算型多元接続チャネル(M-MAC)が形成される。本研究では、このM-MACの容量領域を特徴付け、RIS支援型共生無線通信システムの基本性能限界を明らかにする。
共存/協調型マルチセル大規模MIMO及びセル自由型大規模MIMOシステムの展開: ヒューリスティックな設計と性能分析
本論文は、既存のマルチセル大規模MIMO(MC-mMIMO)システムと新規に導入されるセル自由型大規模MIMO(CF-mMIMO)システムが共存する状況を検討し、両システムの相互協調の度合いが及ぼす下りリンクの性能への影響を分析する。
Performance Analysis of Zero-Energy Reconfigurable Intelligent Surfaces (zeRIS) in Wireless Networks
Reconfigurable intelligent surfaces (RISs) can be transformed into zero-energy devices (zeRISs) that harvest energy for their operation, enabling energy-efficient programmable wireless environments. This work analyzes the performance of zeRIS-assisted communication systems in terms of joint energy-data rate outage probability and energy efficiency.
RIS를 활용한 다중 사용자 MISO 통신 시스템의 용량 최대화
RIS 위상 천이와 입력 공분산 행렬을 최적화하여 가중치 채널 공분산 행렬의 유효 순위를 최대화함으로써 채널 용량을 향상시킬 수 있다.
A Novel Deep Reinforcement Learning Approach for End-to-End Communication Systems without Prior Channel Knowledge
The proposed DDPG-based E2E communication system can jointly optimize the transmitter and the receiver without requiring prior knowledge of the channel model, and achieve significant performance improvement in block error rate compared to state-of-the-art solutions, particularly for data transmission with large block lengths.
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