Energy Efficiency Maximization in IRS-enabled Phase Cooperative PS-SWIPT based Self-sustainable IoT Network
arxiv(2024)
摘要
Power splitting based simultaneous wireless information and power transfer
(PS-SWIPT) appears to be a promising solution to support future
self-sustainable Internet of Things (SS-IoT) networks. However, the performance
of these networks is constrained by radio frequency signal strength and channel
impairments. To address this challenge, intelligent reflecting surfaces (IRSs)
are introduced in PS-SWIPT based SS-IoT networks to improve network efficiency
by controlling signal reflections. In this article, an IRS-enabled phase
cooperative framework is proposed to improve energy efficiency (EE) of the IoT
network (𝙸^net) using phase shifts of the user network
(𝚄^net), without constraining hardware resources at 𝚄^net. We exploit transmit beamforming (BF) at access points (APs) and
phase shifts optimization at the IRS end with phase effective cooperation
between APs to enhance 𝙸^net EE performance. The maximization
problem turns out to be NP-hard, so first, an alternating optimization (AO) is
solved for the 𝚄^net using low computational complexity
heuristic BF approaches, namely, transmit minimum-mean-square-error and
zero-forcing BF, and phase optimization is performed using semidefinite
relaxation (SDR) approach. To combat the computational complexity of AO, we
also propose an alternative solution by exploiting heuristic BF schemes and an
iterative algorithm, i.e., the element-wise block-coordinate descent method for
phase shifts optimization. Next, EE maximization is solved for the 𝙸^net by optimizing the PS ratio and active BF vectors by exploiting
optimal phase shifts of the 𝚄^net. Simulation results confirm
that employing IRS phase cooperation in PS-SWIPT based SS-IoT networks can
significantly improve EE performance of 𝙸^net without
constraining resources.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要