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Modeling and Analysis of Two-Way Relay Networks: A Joint Mechanism Using NOMA and Network Coding

Authors: Fanbo Wei; Ting Zhou; Tianheng Xu; Honglin Hu;

Modeling and Analysis of Two-Way Relay Networks: A Joint Mechanism Using NOMA and Network Coding

Abstract

As a promising technology, non-orthogonal multiple access (NOMA) enhances spectral efficiency and system capacity by allocating the same resource to multiple users. Network coding (NC) has the advantages of compressing data and high spectral efficiency, and it plays a crucial role in two-way relay networks. However, conventional two-way relay networks suffer from throughput limitations due to the use of OMA scheme. In this paper, we utilize a hybrid concept to design a two-way relaying system (namely Hybrid-TWRS) which combines NOMA and NC. Furthermore, we investigate the size-mismatch problem caused by asymmetric channel in the NOMA scheme and propose a bit-match scheme and a symbol-match scheme based on the Hybrid-TWRS. Theoretical derivation and numerical results demonstrate that the proposed method distinctly outperforms both (i) traditional two-way relaying system with OMA in the uplink and NC in the downlink (namely NC-TWRS); and (ii) NOMA-based two-way relaying system (namely NOMA-TWRS).

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Keywords

size-mismatch problem, Two-way relay network, network coding, Electrical engineering. Electronics. Nuclear engineering, non-orthogonal multiple access (NOMA), throughput performance, TK1-9971

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
gold