Paper Info
Title
Efficient Power Allocation For Cognitive Radio Noma Using Game-Theoretic Based Pricing Strategy
Abstract
Cognitive radio-based non-orthogonal multiple access (CR-NOMA) is considered to be one of the promising multiple accessing technique candidates for 5G and beyond networks. These networks are facing a lot of challenges to achieve high spectral efficiency, low latency, and massive connectivity. Interference management and efficient power allocation are highly interesting among the researchers to investigate in CR-NOMA networks. This paper studies the power allocation of underlay CR-NOMA network using game theory approach by conducting the pricing technique to achieve efficient power allocation and minimum interference. In particular, the game is formulated, and its solution is achieved by exploring the suboptimal solution represented by the Pareto-efficiency of the Nash equilibrium point. The simulation results show the superiority of the proposed scheme in achieving higher spectral efficiency, fairness index, and sum utilities of secondary users compared to existing schemes.
Year
DOI
Venue
2021
10.1109/VTC2021-Spring51267.2021.9448851
2021 IEEE 93RD VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-SPRING)
Keywords
DocType
Citations 
CR-NOMA, capacity, game theory, power allocation, pricing, spectrum utilization
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Shaima' S. Abidrabbu100.68
Hüseyin Arslan233233.33