文章目錄
基本信息
題目
Super-Modular Game-Based User Scheduling and Power Allocation for Energy-Efficient NOMA Network
ieee鏈接
https://ieeexplore.ieee.org/document/8332087
Citation
G. Liu, R. Wang, H. Zhang, W. Kang, T. A. Tsiftsis and V. C. M. Leung, “Super-Modular Game-Based User Scheduling and Power Allocation for Energy-Efficient NOMA Network,” in IEEE Transactions on Wireless Communications, vol. 17, no. 6, pp. 3877-3888, June 2018, doi: 10.1109/TWC.2018.2817194.
方法概述
we decouple the optimization problem as a subchannel matching scheme and power allocation subproblems.
By decoupling the problem as subchannel matching problem and power allocation problem, we can obtain a suboptimal solution of the original optimization problem.
子問題1 : We first aim at providing a new subchannel matching scheme with the power constraint of users on same subchannel based on game theory. 成果:a greed bidirection
subchannel matching scheme is provided for NOMA system
子問題2 :Then for given matching scheme, we achieve the power allocation to subchannels to maximize energy efficiency of NOMA systems.成果:we first rewrite the objective function as difference of two concave functions and prove the quasi concavity of them. Then, a successive convex approximation method to deal with the non-convex term is applied.
結論
the energy efficiency performance of the NOMA system is better than the orthogonal frequency division multiple access system.
NOMA 和 OFDMA 對比
superior spectrum efficiency : Compared with conventional orthogonal multiple access (OMA) and OFMDA, same frequency resource block can be shared by multiple users in NOMA systems. That is because users can remove the interference with lower channel gain by using successive interference cancellation (SIC) technique at the receivers.
之前寫過一篇NOMA原理的 blog : https://blog.csdn.net/Jinyindao243052/article/details/104537935
contribution:
Previously published works pay more attention to the sum data rate improvement in NOMA systems. However, for energy-efficient resource allocation problems, the technical literature is rather poor.
系統模型
received signal
SINR and data rate
Problem formulation:
BS的總功率是P,平均分在每個 sunchannel 上,也就是每個subchannel上的總功率是固定的,優化的是分給;兩個用戶的比例
subchannel matching subproblem
Game Theory 模型建立:
Utility Function Design
best response power and concavity of
NE
和 的範圍
同除