Optimal Joint Power and Subcarrier Allocation for Full-Duplex Multicarrier Non-Orthogonal Multiple Access Systems

By Yan Sun, Derrick Wing Kwan Ng, Zhiguo Ding, Robert Schober. IEEE Transactions on Communications, 2016

540 citations recorded by the source corpus.

In this paper, we investigate resource allocation algorithm design for multicarrier non-orthogonal multiple access (MC-NOMA) systems employing a full-duplex (FD) base station for serving multiple half-duplex (HD) downlink and uplink users simultaneously. The proposed algorithm is obtained from the solution of a non-convex optimization problem for the maximization of the weighted sum system throughput. We apply monotonic optimization to develop an optimal joint power and subcarrier allocation policy. The optimal resource allocation policy serves as a system performance benchmark due to its high computational complexity. Furthermore, a suboptimal iterative scheme based on successive convex approximation is proposed to strike a balance between computational complexity and optimality. Our simulation results reveal that the proposed suboptimal algorithm achieves a close-to-optimal performance. In addition, FD MC-NOMA systems employing the proposed resource allocation algorithms provide a substantial system throughput improvement compared with conventional HD multicarrier orthogonal multiple access (MC-OMA) systems and other baseline schemes. In addition, our results unveil that FD MC-NOMA systems enable a fairer resource allocation compared with traditional HD MC-OMA systems.

View Paper: https://www.semanticscholar.org/paper/060b5d862ac106dcaf596b193c6236a6b2594829

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Citations in the corpus

A Survey of Rate-Optimal Power Domain NOMA With Enabling Technologies of Future Wireless Networks (2019, methodology): “interest [87], [91], [211]–[223], [225]–[237], [240]–[250].”
A Survey of NOMA: Current Status and Open Research Challenges (2019, unknown): “[19], [20], [21], [22] and UL [21], [22], [23], [24], to incorporate the typical data transmission methods such as hybrid automatic repeat request (HARQ) to the cases using”
Exploiting Intelligent Reflecting Surfaces in NOMA Networks: Joint Beamforming Optimization (2019, methodology): “Full-duplex multi-subcarrier systems were investigated by Sun et al. [19], where the optimal power allocation and user scheduling scheme was designed by applying monotonic optimization theory.”
A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends (2017, methodology): “Developing corresponding resource allocation algorithms is challenging as shown in [30]–[32], since the difficult problems of user grouping, subcarrier allocation, and power allocation are coupled.”
Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G (2021, methodology): “For instance, the authors of [134] studied an FD multi-carrier NOMA system, where the power allocation and the subcarrier assignment were jointly optimized to maximize the weighted system throughput.”
On Optimal Power Allocation for Downlink Non-Orthogonal Multiple Access Systems (2017, background): “Indeed, in [19], the exhaustive search was performed in the joint continuous-discrete dimension of powers and channels.”
Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems (2018, methodology): “monotonic optimization theory [17], [18], the optimal solution of (24) lies on the upper boundary of the feasible set V and can be approached via the sequential polyblock approximation [22].”