Intelligent Reflecting Surface Enabled in D2D Millimeter Wave Communication

2022 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2022-08-01 DOI:10.1109/SmartIoT55134.2022.00023

Bingjie Han, Xin Chen, D. Guo, Libo Jiao

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引用次数: 1

Abstract

We propose an intelligent reflecting surface (IRS) enabled millimeter wave (MMW) deviceto-device (D2D) communication in the future B5G/6G scenario to improve throughput. This scheme not only maintains the high transmission rate and low transmitting power of MMW D2D communication, but it also greatly reduces the blocking probability in the presence of assisting IRS. In this paper, we build the system model of IRS-enabled MMW D2D communication and convert it into an IRS activation and selection (IAS) problem which is to find the maximize effective transmission rate through the IRS distribution, then prove that the IAS problem is an NP-hard problem. In addition, we propose an approximation solution named after IAS-A to solve IAS problem efficiently. The experimental results show that the IRS-enabled D2D MMW communication outperforms other cases in terms of throughput and blocking probability, demonstrating the superiority of IAS-A algorithm. The experiment results show that our proposed IAS-A algorithm is 16.59% and 76.17% higher than the shortest distance and random strategies with respect to the total throughput.

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智能反射面在D2D毫米波通信中启用

在未来的B5G/6G场景中，我们提出了一种智能反射面(IRS)支持的毫米波(MMW)设备对设备(D2D)通信，以提高吞吐量。该方案既保持了毫米波D2D通信的高传输速率和低发射功率，又大大降低了辅助IRS存在下的阻塞概率。本文建立了基于IRS的毫米波D2D通信系统模型，并将其转化为IRS激活与选择(IAS)问题，即通过IRS分布找到最大的有效传输速率，证明了IAS问题是np困难问题。此外，我们提出了一个以IAS- a命名的近似解来有效地解决IAS问题。实验结果表明，支持irs的D2D毫米波通信在吞吐量和阻塞概率方面优于其他情况，证明了IAS-A算法的优越性。实验结果表明，本文提出的IAS-A算法在总吞吐量方面比最短距离策略和随机策略分别提高16.59%和76.17%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 IEEE International Conference on Smart Internet of Things (SmartIoT)

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