Abstract | ||
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The combination between non-orthogonal multiple access (NOMA) and hybrid automatic repeat request (HARQ) is capable of realizing ultra-reliability, high throughput and many concurrent connections particularly for emerging communication systems. This paper focuses on characterizing the asymptotic scaling law of the outage probability of HARQ-aided NOMA systems with respect to the transmit power, i.e., diversity order. The analysis of diversity order is carried out for three basic types of HARQ-aided downlink NOMA systems, including Type I HARQ, HARQ with chase combining (HARQ-CC) and HARQ with incremental redundancy (HARQ-IR). The diversity orders of three HARQ-aided downlink NOMA systems are derived in closed-form, where an integration domain partition trick is developed to obtain the bounds of the outage probability specially for HARQ-CC and HARQ-IR-aided NOMA systems. The analytical results show that the diversity order is a decreasing step function of transmission rate, and full time diversity can only be achieved under a sufficiently low transmission rate. It is also revealed that HARQ-IR-aided NOMA systems have the largest diversity order, followed by HARQ-CC-aided and then Type I HARQ-aided NOMA systems. Additionally, the users’ diversity orders follow a descending order according to their respective average channel gains. Furthermore, we expand discussions on the cases of power-efficient transmissions and imperfect channel state information (CSI). Monte Carlo simulations finally confirm our analysis. |
Year | DOI | Venue |
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2020 | 10.1109/TVT.2019.2950067 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
NOMA,Diversity reception,Power system reliability,Probability,Decoding,Downlink,Signal to noise ratio | Hybrid automatic repeat request,Noma,Computer science,Computer network,Telecommunications link | Journal |
Volume | Issue | ISSN |
69 | 1 | 0018-9545 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zheng Shi | 1 | 34 | 12.05 |
Chenmeng Zhang | 2 | 1 | 0.35 |
Yaru Fu | 3 | 87 | 10.53 |
Hong Wang | 4 | 9 | 1.84 |
Guang-Hua Yang | 5 | 152 | 22.61 |
Shaodan Ma | 6 | 666 | 71.25 |