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 |
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01.12.2019
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| ISSN: | 2576-6813 |
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| Abstract | 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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| AbstractList | 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. |
| Author | Dobre, Octavia A. Shin, Oh-Soon Dutkiewicz, Eryk Nguyen, Van-Dinh Nguyen, Hieu V. Nguyen, Diep N. |
| Author_xml | – sequence: 1 givenname: Hieu V. surname: Nguyen fullname: Nguyen, Hieu V. organization: School of Electronic Engineering, Soongsil University – sequence: 2 givenname: Van-Dinh surname: Nguyen fullname: Nguyen, Van-Dinh organization: Department of ICMC Convergence Technology, Soongsil University – sequence: 3 givenname: Octavia A. surname: Dobre fullname: Dobre, Octavia A. organization: Faculty of Engineering and Applied Science, Memorial University – sequence: 4 givenname: Diep N. surname: Nguyen fullname: Nguyen, Diep N. organization: Faculty of Engineering and Information Technology, University of Technology Sydney – sequence: 5 givenname: Eryk surname: Dutkiewicz fullname: Dutkiewicz, Eryk organization: Faculty of Engineering and Information Technology, University of Technology Sydney – sequence: 6 givenname: Oh-Soon surname: Shin fullname: Shin, Oh-Soon organization: School of Electronic Engineering & Department of ICMC Convergence Technology, Soongsil University |
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| Snippet | This paper investigates the coexistence of non- orthogonal multiple access (NOMA) and full-duplex (FD), where the NOMA successive interference cancellation... |
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| SubjectTerms | Decoding Interference cancellation NOMA Quality of service Signal to noise ratio Tensile stress |
| Title | A Novel Spectral-Efficient Resource Allocation Approach for NOMA-Based Full-Duplex Systems |
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