Energy-Efficient Resource Allocation for Machine-Type Communications in Smart Grid Based on a Matching With Externalities Approach

被引:9
作者
Huang, Biyao [1 ,2 ]
Zhang, Chuntian [3 ]
Bai, Xiaomin [2 ]
Li, Jianqi [1 ]
Sun, Meng [3 ]
Kong, Wenxuan [3 ]
机构
[1] Global Energy Interconnect Res Inst Co Ltd, State Grid Lab Elect Power Commun, Beijing 100031, Peoples R China
[2] China Elect Power Res Inst Co Ltd, Beijing 100045, Peoples R China
[3] North China Elect Power Univ, Sch Elect & Elect Engn, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China
关键词
Machine-type communication; energy efficiency; resource allocation; matching with externalities; nonlinear fractional programming; VEHICULAR NETWORKS; INTERNET; ACCESS;
D O I
10.1109/ACCESS.2019.2929762
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Machine-type communication plays a critical role in the reliable operation of the smart grid. To overcome the problem of spectrum scarcity, the massive number of machine-type devices (MTDs) are allowed to reuse the spectrum resource allocated to the cellular users (CUs) opportunistically. However, the complicated interference caused by channel reusing and the energy efficiency (EE) issues pose new challenges on resource allocation. In this paper, we investigate the problem of EE maximization for MTDs via jointly optimizing channel selection and power control. A two-stage optimization algorithm is proposed based on many-to-one matching with externalities. In the first stage, each MTD is temporally allocated to predefined transmission power, and then the channel selection optimization problem is solved by matching with externalities to derive the matching relationship between MTDs and resource blocks (RBs). In the second stage, the power control optimization problem is solved by the nonlinear fractional programming algorithm based on the established matching relationship obtained in the first stage. The simulation results demonstrate that the proposed algorithm outperforms the other two heuristic algorithms distinctly.
引用
收藏
页码:104354 / 104364
页数:11
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