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arXiv 2209.08591cs.ITeess.SPmath.IT
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STAR-RIS辅助全双工系统的资源分配

Resource Allocation of STAR-RIS Assisted Full-Duplex Systems

Mohammad Reza Kavianinia, Mohammad Javad Emadi

摘要:

设计良好的同时发射和反射RIS(STAR-RIS)将半空间覆盖扩展到全空间覆盖,使无线通信环境具有智能性和可重构性。在本文中,我们调查如何STAR-RIS影响全双工通信系统的性能与全双工用户的存在,其中基站(BS)和上行链路用户受到最大发射功率约束。首先,加权和速率(WSR)推导出作为一个系统的性能指标。然后,我们制定的资源分配设计成一个等效的加权最小均方误差的形式,然后将其转化为几个凸子问题,以最大化WSR作为一个优化问题,联合优化波束成形和合并向量在BS,上行链路用户的发射功率,和STAR-RIS的相移。虽然WSR优化是非凸的,提出了一个有效的迭代交替过程,以实现优化问题的次优解。其次,利用逐次凸逼近技术对STAR-RIS的相移进行了优化。最后,提供了数值结果来解释如何STAR-RIS提高性能指标与全双工用户的存在。

英文摘要:

Well-designed simultaneously transmitting and reflecting RIS (STAR-RIS), which extends the half-space coverage to full-space coverage, incurs wireless communication environments to be smart and reconfigurable. In this paper, we survey how STAR-RIS affects the performance of full-duplex communication systems with the presence of full-duplex users, wherein the base station (BS) and the uplink users are subject to maximum transmission power constraints. Firstly, the weighted sum-rate (WSR) is derived as a system performance metric. Then, we formulate the resource allocation design into an equivalent weighted minimum mean-square-error form and then transform it into several convex sub-problems to maximize the WSR as an optimization problem which jointly optimizes the beamforming and the combining vectors at the BS, the transmit powers of the uplink users, and phase shifts of STAR-RIS. Although the WSR optimization is non-convex, an efficient iterative alternating procedure is proposed to achieve a sub-optimal solution for the optimization problem. Secondly, the STAR-RIS's phase shifts are optimized via the successive convex approximation technique. Finally, numerical results are provided to explain how STAR-RIS improves the performance metric with the presence of full-duplex users.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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