On the Throughput of NOMA-ALOHA in Massive IoT With Sparse Active Users

Wenbo Fan, Pingzhi Fan, Zhiguo Ding

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The use of non-orthogonal multiple access (NOMA)-assisted ALOHA can effectively improve the throughput of random access. In this letter, we study the throughput of NOMA-ALOHA for massive Internet of Things (IoT) with sparse active users, i.e., only a small number of active users require simultaneous transmissions in an access slot. Since all active users independently choose the power level at the identical distribution, the number of active users in each power level follows binomial distribution. Firstly, the upper and lower bounds on the throughput of NOMA-ALOHA are derived by relaxing and limiting the higher-power dominance characteristic. Then, with the obtained bounds, the optimal load (optimal number of active users) is analyzed to maximize the throughput. Finally, the simulation results are presented to demonstrate the accuracy of the derived throughput expressions and optimal load.

    Original languageBritish English
    Pages (from-to)582-586
    Number of pages5
    JournalIEEE Wireless Communications Letters
    Volume13
    Issue number3
    DOIs
    StatePublished - 1 Mar 2024

    Keywords

    • Non-orthogonal multiple access
    • random access
    • throughput analysis

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