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Diversity analysis of HARQ-CC-aided NOMA
Shi,Zheng1; Zhang,Chenmeng1; Fu,Yaru2; Wang,Hong3; Yang,Guanghua1; Ma,Shaodan4
2019-12
Conference NameIEEE Global Communications Conference (GLOBECOM)
Source Publication2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
Conference DateDEC 09-13, 2019
Conference PlaceWaikoloa, HI
Abstract

The combination between non-orthogonal multiple access (NOMA) and hybrid automatic repeat request (HARQ) is capable of realizing ultra-reliability, high throughput and massive concurrent connections particularly for emerging communication systems. This paper focuses on characterizing the asymptotic scaling law of the outage probability of the HARQ with chase combining (HARQ-CC)-aided downlink NOMA scheme with respect to the transmit power, i.e., diversity order. The diversity order of the two- user HARQ-CC-aided NOMA system is derived in closed-form, where an integration domain partition trick is developed to obtain the upper and lower bounds of the outage probability. The analytical results show that the diversity order is a decreasing step function of transmission rate given the ratio between the transmit powers allocated to the two users. Moreover, full time diversity can only be achieved under a sufficiently low transmission rate. Additionally, the users' diversity orders follow a descending order according to their respective average channel gains. Monte Carlo simulations finally confirm the analysis.

KeywordDiversity Order Harq With Chase Combining Non-orthogonal Multiple Access
DOI10.1109/GLOBECOM38437.2019.9013323
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS IDWOS:000552238601064
Scopus ID2-s2.0-85081951491
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionFaculty of Science and Technology
Affiliation1.Jinan University
2.Singapore University of Technology and Design
3.Nanjing University of Posts and Telecommunications
4.University of Macau
Recommended Citation
GB/T 7714
Shi,Zheng,Zhang,Chenmeng,Fu,Yaru,et al. Diversity analysis of HARQ-CC-aided NOMA[C],2019.
APA Shi,Zheng,Zhang,Chenmeng,Fu,Yaru,Wang,Hong,Yang,Guanghua,&Ma,Shaodan.(2019).Diversity analysis of HARQ-CC-aided NOMA.2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings.
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