Resource allocation for mixed numerology NOMA

McWade, S., Flanagan, M. F., Mao, J., Zhang, L. and Farhang, A. (2021) Resource allocation for mixed numerology NOMA. IEEE Wireless Communications Letters, 10(10), pp. 2240-2244. (doi: 10.1109/LWC.2021.3097821)

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Abstract

6G wireless networks will require the flexibility to accommodate an extremely diverse set of service types. Accommodating different quality of service (QoS) requirements for these service types necessitates the use of mixed numerologies, where services using different subcarrier spacings or symbol durations coexist in the same frequency band. Non-orthogonal multiple access (NOMA) techniques can potentially be used to accommodate users with different numerologies while also gaining the performance benefits associated with NOMA. To achieve the full performance benefits of a mixed numerology NOMA (MN-NOMA) system, resource allocation is paramount. However, the coexistence of mixed numerologies changes the nature of the interference that each user experiences. In this letter, we approach the problem of optimizing subcarrier and power allocation for maximizing the spectral efficiency of MN-NOMA. In particular, we propose a two-stage sub-optimal approach to solve this problem. Numerical results show that the proposed approach provides performance gains over existing benchmark schemes of up to 14% and 12% in spectral efficiency and fairness, respectively.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Zhang, Dr Lei
Authors: McWade, S., Flanagan, M. F., Mao, J., Zhang, L., and Farhang, A.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Wireless Communications Letters
Publisher:IEEE
ISSN:2162-2337
ISSN (Online):2162-2345
Published Online:16 July 2021
Copyright Holders:Copyright © 2021 IEEE
First Published:First published in IEEE Wireless Communications Letters 10(10): 2240-2244
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
304481Resource Orchestration for Diverse Radio SystemsLei ZhangEngineering and Physical Sciences Research Council (EPSRC)EP/S02476X/1ENG - Systems Power & Energy