A Geometric Approach for Optimal Power Control and Relay Selection in NOMA Wireless Relay Networks

In this paper, we propose a geometric approach for optimal power control and relay selection in NOMA wireless relay networks. First, for each pair of relays, to derive an optimal vector of transmission power that maximizes the network throughput, we formulate a non-convex optimization problem. To ob...

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Bibliographic Details
Published in:IEEE transactions on communications 2020-04, Vol.68 (4), p.2032-2047
Main Authors: Gau, Rung-Hung, Chiu, Hsiao-Ting, Liao, Chien-Hsun
Format: Article
Language:English
Subjects:
classification
Computational geometry
Computer simulation
conic sections
Convex analysis
Convexity
geometry
Hyperbolas
NOMA
non-convex optimization
Non-orthogonal multiple access
Optimization
Polynomials
Power consumption
Power control
Relay networks
Relay networks (telecommunications)
Resource management
Service introduction
Wireless communications
Wireless networks
wireless relay selection
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Summary:In this paper, we propose a geometric approach for optimal power control and relay selection in NOMA wireless relay networks. First, for each pair of relays, to derive an optimal vector of transmission power that maximizes the network throughput, we formulate a non-convex optimization problem. To obtain a closed-form solution for the non-convex optimization problem, we adopt ellipses and hyperbolas for classification of transmission power vectors. In addition, the proposed geometric approach could be used to select an optimal pair of relays and an optimal vector of transmission power in polynomial time. Furthermore, we observe that allocating all transmission power of the BS to send data to the stronger relay is not necessarily optimal in a NOMA wireless relay network. Simulation results show that the proposed geometric approach could significantly increase the end-to-end sum rate and reduce the power consumption of wireless communications for NOMA wireless relay networks with low computational complexity.
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2020.2965526