IRS-Assisted Short Packet Wireless Energy Transfer and Communications

Bingxin Zhang, Kezhi Wang, Kun Yang, Guopeng Zhang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

In this letter, we analyse and optimize an intelligent reflecting surface (IRS)-assisted ultra-reliable and low-latency communications (uRLLC) system supported by wireless energy transfer (WET) technology, in which short packets are used in both the WET and wireless information transfer (WIT) phases. We first present the statistical features of the signal-to-noise ratio (SNR) of the system. Then, we derive an approximate closed-form expression of the average packet error probability (APEP). Additionally, we optimize the channel uses in the WET and WIT phases to maximize the effective throughput (ET) of the system. Finally, the effectiveness of the proposed solution is verified by Monte-Carlo simulation.

Original languageEnglish
Pages (from-to)303-307
Number of pages5
JournalIEEE Wireless Communications Letters
Volume11
Issue number2
Early online date15 Nov 2021
DOIs
Publication statusPublished - 1 Feb 2022

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