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Cooperative Rate Splitting Multiple Access for Active STAR-RIS Assisted Downlink Communications
IEEE Wireless Communications Letters ( IF 4.6 ) Pub Date : 2024-08-23 , DOI: 10.1109/lwc.2024.3448409 Youssef Maghrebi 1 , Mohamed Elhattab 2 , Chadi Assi 1 , Ali Ghrayeb 3 , Georges Kaddoum 2
IEEE Wireless Communications Letters ( IF 4.6 ) Pub Date : 2024-08-23 , DOI: 10.1109/lwc.2024.3448409 Youssef Maghrebi 1 , Mohamed Elhattab 2 , Chadi Assi 1 , Ali Ghrayeb 3 , Georges Kaddoum 2
Affiliation
This letter explores the influence of an active Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface (STAR-RIS) in supporting Cooperative Rate Splitting Multiple Access (C-RSMA) in a downlink wireless network. We consider a scenario where a base station (BS) with multiple antennas utilizes the active STAR-RIS to aid weak and strong users. Strong users also serve as full-duplex relays to transmit the common stream to weak users. By jointly optimizing BS beamformers, active STAR-RIS reflection and transmission, stream split, and strong users’ transmit power, we maximize the network sum rate while satisfying minimum rate requirements, active STAR-RIS hardware constraints and power budgets at the BS, the active STAR-RIS and at each strong user. An alternating optimization algorithm employing successive convex approximation is proposed, and simulations showcase its significant gains over baseline approaches.
中文翻译:
用于主动 STAR-RIS 辅助下行链路通信的协作速率分路多址
本信探讨了有源同步发射和反射可重构智能表面 (STAR-RIS) 在支持下行链路无线网络中的协作速率拆分多址 (C-RSMA) 方面的影响。我们考虑这样一种情况:具有多个天线的基站 (BS) 利用有源 STAR-RIS 来帮助弱用户和强用户。强用户还充当全双工中继,将公共流传输给弱用户。通过共同优化 BS 波束成形器、主动 STAR-RIS 反射和传输、分流和强用户的发射功率,我们最大限度地提高了网络总和速率,同时满足 BS、主动 STAR-RIS 和每个强用户的最低速率要求、主动 STAR-RIS 硬件约束和功率预算。提出了一种采用连续凸近似的交替优化算法,仿真表明其相对于基线方法的显著优势。
更新日期:2024-08-23
中文翻译:
用于主动 STAR-RIS 辅助下行链路通信的协作速率分路多址
本信探讨了有源同步发射和反射可重构智能表面 (STAR-RIS) 在支持下行链路无线网络中的协作速率拆分多址 (C-RSMA) 方面的影响。我们考虑这样一种情况:具有多个天线的基站 (BS) 利用有源 STAR-RIS 来帮助弱用户和强用户。强用户还充当全双工中继,将公共流传输给弱用户。通过共同优化 BS 波束成形器、主动 STAR-RIS 反射和传输、分流和强用户的发射功率,我们最大限度地提高了网络总和速率,同时满足 BS、主动 STAR-RIS 和每个强用户的最低速率要求、主动 STAR-RIS 硬件约束和功率预算。提出了一种采用连续凸近似的交替优化算法,仿真表明其相对于基线方法的显著优势。