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Adaptive Aggregate Transmission for Device-to-Multi-Device Aided Cooperative NOMA Networks

Xu, Y; Tang, J; Li, B; Zhao, N; Niyato, D; Wong, KK; (2022) Adaptive Aggregate Transmission for Device-to-Multi-Device Aided Cooperative NOMA Networks. IEEE Journal on Selected Areas in Communications 10.1109/JSAC.2022.3143267. (In press). Green open access

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Abstract

The integration of device-to-device (D2D) communications with cooperative non-orthogonal multiple access (NOMA) can achieve superior spectral efficiency. However, the mutual interference caused by D2D communications may prevent NOMA from divering its high spectral efficiency advantage. Meanwhile, the low adaptability of the fixed transmission strategy can decrease the reliability of the cell-edge user (CEU). To further improve the spectral efficiency, we investigate a device-to-multi-device (D2MD) assisted cooperative NOMA system, where two cell-center users (CCUs) and one CEU are paired as a D2MD cluster. Specifically, the base station directly serves the two CCUs while communicating with the CEU via one CCU. Moreover, we propose an adaptive aggregate transmission scheme using dynamic superposition coding, pre-designing the decoding orders and prior information cancellation for the D2MD assisted cooperative NOMA system to enhance the reliability of the CEU. We provide the closed-form expressions for the outage probability, diversity order, outage throughput, ergodic sum capacity, average spectral efficiency, and spectral efficiency scaling over Nakagami-m fading channels under perfect and imperfect successive interference cancellation. The numerical results validate the correctness of the analytical derivations and the effectiveness of the proposed scheme.

Type: Article
Title: Adaptive Aggregate Transmission for Device-to-Multi-Device Aided Cooperative NOMA Networks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/JSAC.2022.3143267
Publisher version: https://doi.org/10.1109/JSAC.2022.3143267
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10143612
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