This paper proposes analytical modeling frameworks to enable statistical delay and error-rate bounded QoS provisioning for supporting mURLLC services over 6G space-air-ground integrated networks (SAGINs) in the finite blocklength regime.
RIS 지원 셀 프리 대규모 MIMO NOMA 시스템의 스펙트럼 효율을 최대화하기 위해 송신 전력 계수와 RIS 위상 시프트를 최적화하는 방법을 제안합니다.
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 시스템에서 불완전 CSI와 위상 잡음이 시스템 성능에 미치는 영향을 분석하고, 이를 바탕으로 시스템 성능 향상을 위한 최적화 기법을 제안한다.
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 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 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。
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。
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.