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http://dx.doi.org/10.3837/tiis.2018.06.014

Evolutionary game theory-based power control for uplink NOMA  

Riaz, Sidra (Department of Computer Science and Engineering, Sogang University)
Kim, Jihwan (Department of Computer Science and Engineering, Sogang University)
Park, Unsang (Department of Computer Science and Engineering, Sogang University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.12, no.6, 2018 , pp. 2697-2710 More about this Journal
Abstract
Owing to the development of Internet of Things (IoT), the fifth-generation (5G) wireless communication is going to foresee a substantial increase of mobile traffic demand. Energy efficiency and spectral efficiency are the challenges in a 5G network. Non-orthogonal multiple access (NOMA) is a promising technique to increase the system efficiency by adaptive power control (PC) in a 5G network. This paper proposes an efficient PC scheme based on evolutionary game theory (EGT) model for uplink power-domain NOMA system. The proposed PC scheme allows users to adaptively adjusts their transmit power level in order to improve their payoffs or throughput which results in an increase of the system efficiency. In order to separate the user signals, a successive interference cancellation (SIC) receiver installed at the base station (BS) site. The simulation results demonstrate that the proposed EGT-based PC scheme outperforms the traditional game theory-based PC schemes and orthogonal multiple access (OMA) in terms of energy efficiency and spectral efficiency.
Keywords
Non-orthogonal multiple access; power NOMA in 5G; adaptive power control; evolutionary game theory; spectral efficiency; energy efficiency;
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