New Designs of Robust Uplink NOMA in Cognitive Radio Inspired Communications

Yanshi Sun, Wei Cao, Momiao Zhou, Zhiguo Ding

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    This paper considers a cognitive radio inspired uplink communication scenario, where one primary user is allocated with one dedicated resource block, while M secondary users compete with each other to opportunistically access the primary user's channel. Two new designs of NOMA schemes, namely hybrid successive interference cancellation with power adaptation (HSIC-PA) and fixed successive interference cancellation with power adaptation (FSIC-PA), are proposed. The significant advantages of the proposed schemes are two folds. First, the proposed two schemes can ensure that the secondary users are opportunistically served without degrading the transmission reliability of the primary user. Besides, the transmission robustness of the served secondary users can be guaranteed. Specifically, the outage probability error floors can be avoided for the secondary users, which is proved by asymptotic analysis in the paper. Extensive simulation results are also provided to demonstrate the superior performance of the proposed schemes.

    Original languageBritish English
    Title of host publication2023 IEEE Globecom Workshops, GC Wkshps 2023
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1207-1212
    Number of pages6
    ISBN (Electronic)9798350370218
    DOIs
    StatePublished - 2023
    Event2023 IEEE Globecom Workshops, GC Wkshps 2023 - Kuala Lumpur, Malaysia
    Duration: 4 Dec 20238 Dec 2023

    Publication series

    Name2023 IEEE Globecom Workshops, GC Wkshps 2023

    Conference

    Conference2023 IEEE Globecom Workshops, GC Wkshps 2023
    Country/TerritoryMalaysia
    CityKuala Lumpur
    Period4/12/238/12/23

    Keywords

    • dynamic power control
    • Non-orthogonal multiple access
    • quality of service (QoS)
    • successive interference cancellation (SIC) decoding order

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