智能反射表面辅助上行链路C-RSMA系统

Peixu Liu, Qiang Sun, Hong-Yi Lin
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摘要

智能反射面(IRS)是未来无线通信的一种很有前途的技术。本文受认知无线电的启发,在上行认知速率分多址(C-RSMA)系统中,主要用户的服务质量(QoS)要求必须得到保证的情况下,利用IRS辅助从用户(SU)传输。在不引入影响PU中断性能的其他干扰的情况下,SU执行速率分裂(RS),通过直连和IRS反射通道将其信号传输到基站。对于SU执行RS,我们分析了最优传输速率分配方案和顺序干扰抵消信号解码顺序,帮助SU获得最大允许可达速率,从而提高SU的中断性能。最后,我们导出了irs辅助C- RSMA方案实现的SU中断概率的封闭表达式。各种仿真结果表明,与现有方案相比,该方案能够提高系统的中断性能。
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An Intelligent Reflecting Surface-Assisted Uplink C-RSMA System
Intelligent reflection surface (IRS) is emerging as a promising technique for future wireless communications. In this paper, inspired by cognitive radio, we utilize IRS to assist secondary user (SU) transmission in uplink cognitive rate split multiple access (C-RSMA) system, where the primary users' (PU's) quality of service (QoS) requirements must be guaran-teed. Without introducing other interference that affects the PU outage performance, the SU performs rate splitting (RS) and transmits its signal to the base station via the direct link and IRS reflection channel. For SU performs RS, we analyze the optimal transmission rate allocation scheme and sequential interference cancellation signal decoding order to help SU obtain the maximum allowable achievable rate, which improves the SU's outage performance. Finally, we derive a closed-form expression for the SU outage probability achieved by the IRS-assisted C- RSMA scheme. Various simulation results show that the proposed scheme can enhance outage performance over the existing schemes.
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