Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

Journal of Beijing University of Posts and Telecommunications ›› 2021, Vol. 44 ›› Issue (4): 62-67.doi: 10.13190/j.jbupt.2020-261

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Power Allocation Scheme for MIMO-NOMA System Based on QoE

HU Xiang-ge1, WU Guang-fu1, LI Tao2, PENG De-yi1   

  1. 1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
    2. Network Engineering Department, Macro Net Communication Company Limited, Chongqing 401147, China
  • Received:2020-12-05 Published:2021-07-13

Abstract: Multiple input multiple output-non-orthogonal multiple access (MIMO-NOMA) systems typically only consider the quality of service (QoS) of users while omits the satisfaction of users. A dynamic pricing power allocation algorithm based on Stackelberg game is proposed to optimize the quality of experience (QoE). In the scenario of web browsing service, the mean opinion score (MOS) value is used to measure the satisfaction of the user terminal. The user is set as the buyer, and the base station is set as the seller. Each user in the cell purchases power from the base station at the instantaneous unit power price to improve their MOS values. At the same time, the seller base station constantly adjusts the unit power price to maximize their own profits and achieve Stackelberg equilibrium. Simulation results show that the fairness of the proposed algorithm is improved by 22.73% compared with the power allocation algorithm based on QoS, and the system performance is improved significantly compared with the traditional pricing algorithm. The time complexity is also reduced significantly compared with the power allocation algorithm based on convex programming.

Key words: non-orthogonal multiple access, quality of experience, Stackelberg game, power allocation

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