A novel spectral-efficient resource allocation approach for NOMA-based full-duplex systems

Publication Type:
Conference Proceeding
Citation:
2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings, 2019
Issue Date:
2019-12-01
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1570545989 (2).pdfAccepted Manuscript version3.06 MB
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© 2019 IEEE. This paper investigates the coexistence of non- orthogonal multiple access (NOMA) and full-duplex (FD), where the NOMA successive interference cancellation technique is applied simultaneously to both uplink (UL) and downlink (DL) transmissions in the same time-frequency resource block. Specifically, we jointly optimize the user association (UA) and power control to maximize the overall sum rate, subject to user-specific quality-of-service and total transmit power constraints. To be spectrally-efficient, we introduce the tensor model to optimize the UL users' decoding order and the DL users' clustering, which results in a mixed-integer non- convex problem. For solving this problem, we first relax the binary variables to be continuous, and then propose a low-complexity design based on the combination of the inner convex approximation framework and the penalty method. Numerical results show that the proposed algorithm significantly outperforms the conventional FD-based schemes, FD-NOMA and its half-duplex counterpart with random UA.
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