Design and Optimization of Scheduling and Non-Orthogonal Multiple Access Algorithms with Imperfect Channel State Information

Jianhua He, Zuoyin Tang, Zuowen Tang, Hsiao Hwa Chen (Lead / Corresponding author), Cong Ling

    Research output: Contribution to journalArticlepeer-review

    17 Citations (Scopus)


    Non-orthogonal multiple access (NOMA) is a promising candidate technology for 5G cellular systems. In this paper, design and optimization of scheduling and NOMA algorithms is investigated. The impact of power allocation for NOMA systems with round-robin scheduling is analyzed. A statistic model is developed for network performance analysis of joint scheduling of spectrum resource and power for NOMA algorithms. Proportional fairness scheduling for NOMA is proposed with a two-step approach, with objective of achieving high throughput and user fairness with low computational complexity. In the first step, an optimal power allocation strategy is developed with an objective of maximizing weighted sum rate. In the second step, three fast and scalable scheduling and user pairing algorithms with QoS guarantee are proposed, in which only a few user pairs are checked for NOMA multiplex. The algorithms are extended to the cases with imperfect channel state estimation and more than two users being multiplexed over one resource block. Numerical results show that the proposed algorithms are faster and more scalable than the existing algorithms, and maintain a higher throughput gain than orthogonal multiple access.

    Original languageEnglish
    Article number8457230
    Pages (from-to)10800-10814
    Number of pages15
    JournalIEEE Transactions on Vehicular Technology
    Issue number11
    Early online date10 Sept 2018
    Publication statusPublished - Nov 2018


    • 5G
    • cellular network
    • cross layer design
    • Non-orthogonal multiple access
    • power allocation
    • scheduling

    ASJC Scopus subject areas

    • Automotive Engineering
    • Aerospace Engineering
    • Applied Mathematics
    • Electrical and Electronic Engineering


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