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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/16757

Title: Down-link NOMA with Successive Refinement for Binary Symmetric Source Transmission
Authors: Cheng, Meng
Lin, Wensheng
Matsumoto, Tad
Keywords: Down-link NOMA
successive refinement
lossy transmission
outage probability
power allocation
Issue Date: 2020-09-07
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: IEEE Transactions on Communications
DOI: 10.1109/TCOMM.2020.3022400
Abstract: This paper focuses on a lossy transmission of binary symmetric source (BSS) with down-link non-orthogonal multiple access (DL-NOMA). The transmitted binary sequences are lossy-compressed descriptions of the same BSS, which are overlapped in a specified signal format, corresponding to the receivers with pre-determined distortion requirements. Despite a higher spectrum efficiency achieved by DL-NOMA, redundancy may still remain if the overlapped descriptions are correlated. In this work, a system combining DL-NOMA and successive refinement, referred to as DN-SR, is proposed. Specifically, instead of re-constructing the source by a single description, the receiver can achieve a low distortion by first recovering the basic description, and then refining it with the help of another refinement description. If the two descriptions are made independent, transmission efficiency of the conventional DLNOMA can be further improved. As the main contribution, this paper derives the outage probability of DN-SR in closedform, assuming block Rayleigh fading channels. The advantage of DN-SR is numerically studied in terms of the system outage probability, compared to both the conventional DL-NOMA, and a modified DL-NOMA which exploits the correlation between descriptions, referred to as DN-CE. Finally, the optimal power allocation to the two descriptions is investigated for DN-SR, aiming to minimize the system outage probability.
Rights: This is the author's version of the work. Copyright (C) 2020 IEEE. IEEE Transactions on Communications, 2020, DOI:10.1109/TCOMM.2020.3022400. 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/10119/16757
Material Type: author
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

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