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Energy-Efficient Resource Allocation for IRS-Assisted Multi-Antenna Uplink Systems
IEEE Wireless Communications Letters ( IF 6.3 ) Pub Date : 2021-03-04 , DOI: 10.1109/lwc.2021.3063554
Ming Zeng , Ebrahim Bedeer , Octavia A. Dobre , Paul Fortier , Quoc-Viet Pham , Wanming Hao

In this letter, we study the resource allocation for an intelligent reflecting surface (IRS)-assisted uplink system, where the base station is equipped with multiple antennas. We propose to jointly optimize the transmit power of the users, active beamforming at the base station, and passive beamforming at the IRS to maximize the overall system energy efficiency while maintaining users’ minimum rate constraints. This problem belongs to a highly intractable non-convex bi-quadratic programming problem, for which an iterative solution based on block coordinate descent is proposed. Extensive simulations are conducted to demonstrate the effectiveness of the proposed scheme and the benefits of having more elements at the IRS.

中文翻译:

IRS 辅助多天线上行链路系统的节能资源分配

在这封信中,我们研究了智能反射面 (IRS) 辅助上行链路系统的资源分配,其中基站配备了多个天线。我们建议联合优化用户的发射功率、基站的有源波束成形和 IRS 的无源波束成形,以在保持用户最小速率约束的同时最大限度地提高整体系统能效。该问题属于高度棘手的非凸双二次规划问题,为此提出了基于块坐标下降的迭代解决方案。进行了广泛的模拟,以证明拟议计划的有效性以及在 IRS 拥有更多元素的好处。
更新日期:2021-03-04
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