Power Allocation Algorithms for Stable Successive Interference Cancellation in Millimeter Wave NOMA Systems

Yu Zhang, Xiongwen Zhao, Suiyan Geng, Zhenyu Zhou, Peng Qin, Lei Zhang, Liuqing Yang

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14 Scopus citations


In this paper, we investigate power allocation algorithms in a downlink millimeter wave non-orthogonal multiple access (mmWave-NOMA) system, which consists of one base station (BS) and a group of two-user clusters. Specifically, two optimization problems are formulated to maximize the achievable sum rate (ASR) and energy efficiency (EE), respectively, while satisfying the individual quality of service (QoS) constraints. To ensure the stability of successive interference cancellation (SIC-stability), we specially add the power order constraints, which are often neglected in existing works. By dividing each formulated problem into more tractable inter-cluster and intra-cluster sub-problems, and deriving the corresponding solutions, we propose the ASR maximization based power allocation (ASRMax-PA) and EE maximization based power allocation (EEMax-PA) algorithms. Numerical results show that the proposed ASRMax-PA (EEMax-PA) algorithm is much better than the state-of-the-art schemes in term of ASR (EE), while yields quite good EE (ASR) performance simultaneously. Moreover, both the two proposed algorithms can ensure SIC-stability, which is shown to have a significant impact on the NOMA system performance.

Original languageEnglish (US)
Article number9423658
Pages (from-to)5833-5847
Number of pages15
JournalIEEE Transactions on Vehicular Technology
Issue number6
StatePublished - Jun 1 2021

Bibliographical note

Funding Information:
Manuscript received September 16, 2020; revised March 3, 2021; accepted April 28, 2021. Date of publication May 4, 2021; date of current version July 8, 2021. This work was supported by the Science and Technology Project of State Grid Corporation of China, entitled “Research on the Key-technologies Application of 5G Communication based on Typical Scenarios of Power Distribution Internet of Things,” under Grant 5700-201999539A-0-0-00. The review of this article was coordinated by Prof. Dania Marabissi. (Corresponding author: Xiongwen Zhao.) Yu Zhang, Xiongwen Zhao, Suiyan Geng, Zhenyu Zhou, and Peng Qin are with the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China and also with the Hebei Key Laboratory of Power Internet of Things Technology, North China Electric Power University, Baoding 071003, Hebei, China (e-mail: zhyu@ncepu.edu.cn; zhaoxw@ncepu.edu.cn; gsuiyan@ncepu.edu.cn; zhenyu_zhou@ncepu.edu.cn; qinpeng@ncepu.edu.cn).

Publisher Copyright:
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  • Millimeter wave NOMA
  • SIC-stability
  • achievable sum rate
  • energy efficiency
  • power allocation


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