Fast and efficient user pairing and power allocation algorithm for non-orthogonal multiple access in cellular networks


Non-orthogonal multiple access (NOMA) is emerging as a promising multiple access technology for the fifth generation cellular networks to address the fast growing mobile data traffic. It applies superposition coding in transmitters, allowing simultaneous allocation of the same frequency resource to multiple intra-cell users. Successive interference cancellation is used at the receivers to cancel intra-cell interference. User pairing and power allocation (UPPA) is a key design aspect of NOMA. Existing UPPA algorithms are mainly based on exhaustive search method with extensive computation complexity, which can severely affect the NOMA performance. A fast proportional fairness (PF) scheduling based UPPA algorithm is proposed to address the problem. The novel idea is to form user pairs around the users with the highest PF metrics with pre-configured fixed power allocation. Systemlevel simulation results show that the proposed algorithm is significantly faster (seven times faster for the scenario with 20 users) with a negligible throughput loss than the existing exhaustive search algorithm.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > Adaptive communications networks research group
Additional Information: This paper is a postprint of a paper submitted to and accepted for publication in Electronics Letters and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.
Uncontrolled Keywords: Electrical and Electronic Engineering
Publication ISSN: 1350-911X
Last Modified: 17 Jun 2024 07:23
Date Deposited: 21 Dec 2016 14:40
Full Text Link: http://digital- ... 49/el.2016.3670
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2016-12-08
Published Online Date: 2016-12-05
Accepted Date: 2016-12-05
Submitted Date: 2016-10-05
Authors: He, Jianhua (ORCID Profile 0000-0002-5738-8507)
Tang, Zuoyin (ORCID Profile 0000-0001-7094-999X)
Che, Zhongzhi



Version: Accepted Version

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