A Novel Spectral-Efficient Resource Allocation Approach for NOMA-Based Full-Duplex Systems

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,...

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Vydané v:IEEE Global Communications Conference (Online) s. 1 - 6
Hlavní autori: Nguyen, Hieu V., Nguyen, Van-Dinh, Dobre, Octavia A., Nguyen, Diep N., Dutkiewicz, Eryk, Shin, Oh-Soon
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.12.2019
Predmet:
Decoding
Interference cancellation
NOMA
Quality of service
Signal to noise ratio
Tensile stress
ISSN:2576-6813
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Popis
Shrnutí: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.
ISSN:2576-6813
DOI:10.1109/GLOBECOM38437.2019.9013457