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http://hdl.handle.net/10119/19047
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Title: | Bit-Flipping Helper-Assisted Lossy Communications: Performance Analyses over Fading Multiple Access Channels |
Authors: | Lin, Wensheng Zribi, Amin Asvadi, Reza Dupraz, Elsa Li, Lixin Matsumoto, Tad |
Keywords: | Wireless sensor networks cooperative lossy communications outage probability rate-distortion multiple access channel |
Issue Date: | 2024-06-05 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Magazine name: | IEEE Sensors Journal |
Start page: | 1 |
End page: | 1 |
DOI: | 10.1109/JSEN.2024.3407480 |
Abstract: | The primary objective of this paper is to establish an analytical framework for evaluating the rate-distortion and the outage probability performance in Internet-of-Things (IoT) systems based on lossy cooperative wireless communications. Two correlated sources transmit information through fading multiple access channels (MACs) with the assistance of a bit-flipping (BF) helper. To begin with, we derive a closed-form expression of the inner bound on the achievable rate-distortion region. To reduce computational complexity, we then propose an approximate method for calculating the outage probability based on the lossy source-channel separation theorem. Moreover, Monte-Carlo methods are adopted to evaluate the outage probability in MAC and orthogonal transmission schemes. Theoretically approximate results are also compared with the exact results obtained by Monte-Carlo methods. It is shown that the gap between the approximate and exact performance curves decreases as the distortion requirement becomes smaller. Especially when the distortion requirement reduces to zero, the approximated outage probability is exactly the same as the results obtained by Monte-Carlo methods. In addition, we also present performance comparisons in terms of the outage probability between Rayleigh and Nakagami-m fading, and between BF helper and optimal helper. |
Rights: | This is the author's version of the work. Copyright (C) 2024 IEEE. IEEE Sensors Journal. DOI: 10.1109/JSEN.2024.3407480. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
URI: | http://hdl.handle.net/10119/19047 |
Material Type: | author |
Appears in Collections: | b10-1. 雑誌掲載論文 (Journal Articles)
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