Zhang, Bingxin, Wang, Kezhi, Yang, Kun and Zhang, Guopeng (2022) IRS-Assisted Short Packet Wireless Energy Transfer and Communications. IEEE Wireless Communications Letters, 11 (2). pp. 303-307. ISSN 2162-2337
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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.
| Item Type: | Article |
|---|---|
| Additional Information: | Funding Information: This work was supported by the National Natural Science Foundation of China under Grant 61620106011, Grant U1705263, Grant 61871076, and Grant 61971421. |
| Uncontrolled Keywords: | Average packet error probability, Effective throughput, Short-packet communications, uRLLC, Wireless energy transfer |
| Subjects: | H600 Electronic and Electrical Engineering |
| Department: | Faculties > Engineering and Environment > Computer and Information Sciences |
| Depositing User: | Rachel Branson |
| Date Deposited: | 21 Mar 2022 10:46 |
| Last Modified: | 21 Mar 2022 11:00 |
| URI: | http://nrl.northumbria.ac.uk/id/eprint/48704 |
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