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Hybrid NOMA/OMA With Buffer-Aided Relay Selection in Cooperative Networks.

Authors :
Nomikos, Nikolaos
Charalambous, Themistoklis
Vouyioukas, Demosthenes
Karagiannidis, George K.
Wichman, Risto
Source :
IEEE Journal of Selected Topics in Signal Processing; Jun2019, Vol. 13 Issue 3, p524-537, 14p
Publication Year :
2019

Abstract

Non-orthogonal multiple access (NOMA) aims to increase the spectral efficiency of fifth generation networks by relaxing the orthogonal use of radio-resources. In this paper, a network with multiple half-duplex buffer-aided (BA) relays is considered, where the source transmits with a fixed rate toward two users. The users might demand the same rate by the source (e.g., two cellular users requiring the same service), or they could have different rate requirements (e.g., a cellular user coexisting with an Internet of Things device). By deploying multiple BA relays, increased reliability and additional degrees of freedom are provided. Leveraging the spectral efficiency of NOMA and the increased diversity gain of BA relaying, two relay selection algorithms with broadcasting are proposed for power-domain NOMA and hybrid NOMA/OMA, namely BA-NOMA and BA-NOMA/OMA, respectively. BA-NOMA can improve the performance in terms of the outage probability when the power allocation factor $\alpha$ is selected such that robustness against channel uncertainties due to, e.g., outdated channel state information is provided. Moreover, BA-NOMA/OMA further improves the sum-rate by switching to OMA when the relays cannot serve the users through NOMA. For both cases, a theoretical analysis for the outage probability is conducted and the asymptotic performance is studied. Finally, numerical results and comparisons with other state-of-the-art algorithms are provided for the outage probability, average throughput, and average delay. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19324553
Volume :
13
Issue :
3
Database :
Complementary Index
Journal :
IEEE Journal of Selected Topics in Signal Processing
Publication Type :
Academic Journal
Accession number :
136696173
Full Text :
https://doi.org/10.1109/JSTSP.2019.2894059