IRS-Aided Multi-Antenna Wireless Powered Communications in Interference Channels
Ying Gao, Qingqing Wu, Wen Chen

TL;DR
This paper explores the use of intelligent reflecting surfaces (IRSs) to enhance multi-antenna wireless powered communications in interference channels, proposing three schemes and a unified optimization framework to improve throughput and energy efficiency.
Contribution
It introduces three IRS-aided transmission schemes and a general algorithmic framework for optimizing resource allocation in interference channels, addressing a complex non-convex problem.
Findings
IRS schemes outperform non-IRS counterparts in throughput and energy efficiency
Asynchronous scheme achieves highest throughput overall
TDMA and Syn schemes are preferable under specific interference conditions
Abstract
This paper investigates intelligent reflecting surface (IRS)-aided multi-antenna wireless powered communications in a multi-link interference channel, where multiple IRSs are deployed to enhance the downlink/uplink communications between each pair of hybrid access point (HAP) and wireless device. Our objective is to maximize the system sum throughput by optimizing the allocation of communication resources. To attain this objective and meanwhile balance the performance-cost tradeoff, we propose three transmission schemes: the IRS-aided asynchronous (Asy) scheme, the IRS-aided time-division multiple access (TDMA) scheme, and the IRS-aided synchronous (Syn) scheme. For the resulting three non-convex design problems, we propose a general algorithmic framework capable of suboptimally addressing all of them. Numerical results show that our proposed IRS-aided schemes noticeably surpass their…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Energy Harvesting in Wireless Networks
