Super-Modular Game-Based User Scheduling and Power Allocation for Energy-Efficient NOMA Network

基本信息

题目

Super-Modular Game-Based User Scheduling and Power Allocation for Energy-Efficient NOMA Network

ieee链接

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.
子问题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
子问题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.

结论

the energy efficiency performance of the NOMA system is better than the orthogonal frequency division multiple access system.

NOMA 和 OFDMA 对比

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.
之前写过一篇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.

系统模型

received signal

SINR and data rate

Problem formulation:


BS的总功率是P,平均分在每个 sunchannel 上，也就是每个subchannel上的总功率是固定的，优化的是分给；两个用户的比例

subchannel matching subproblem

Game Theory 模型建立：

Utility Function Design

best response power and concavity of $f_{i,n}$

NE

$\mathcal{P}_{1,n}$ 和 $\mathcal{P}_{2,n}$ 的范围

$(p_{2,n})^{2}H_{2,n}\geq p_{c}(1+p_{1,n}H_{2,n})$

同除 $p_{c}$

$(p_{2,n})^{2}H_{2,n}/p_{c}\geq (1+p_{1,n}H_{2,n})$

$(p_{2,n})^{2}H_{2,n}/p_{c}-1\geq p_{1,n}H_{2,n}$

$p_{1,n}\leq(p_{2,n})^{2}/p_{c}-1/H_{2,n}$

子问题1的算法流程图