A Novel Power Allocation Algorithm for Minimizing Energy Consumption in D2D Communication Systems

被引:4
作者
Du, Ning [1 ,3 ]
Zhou, Changqing [2 ]
Shen, Hongxiang [4 ]
Chakraborty, Chinmay [5 ]
Yang, Junchao [6 ]
Yu, Keping [7 ,8 ,9 ]
机构
[1] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China
[2] China Aerosp Sci & Technol Corp, Inst 513, Acad 5, Yantai 264000, Peoples R China
[3] Liaocheng Univ, Dongchang Coll, Dept Math & Informat Engn, Liaocheng 252000, Peoples R China
[4] Yokohama Natl Univ, Yokohama 2400067, Japan
[5] Birla Inst Technol, Mesra 835215, India
[6] Chongqing Technol & Business Univ, Sch Artificial Intelligence, Chongqing 400067, Peoples R China
[7] Bengbu Univ, Sch Comp & Informat Engn, Bengbu 233000, Peoples R China
[8] Hosei Univ, Grad Sch Sci & Engn, Tokyo 1848584, Japan
[9] RIKEN, RIKEN Ctr Adv Intelligence Project, Tokyo 1030027, Japan
来源
IEEE SYSTEMS JOURNAL | 2023年 / 17卷 / 03期
基金
中国国家自然科学基金;
关键词
Device to device (D2D) communication; energy consumption; power allocation; reverse polyblock approximation; DISTRIBUTED RESOURCE-ALLOCATION; OPTIMIZATION; MANAGEMENT;
D O I
10.1109/JSYST.2023.3281861
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Device to device (D2D) is becoming one of the critic technologies of green smart cities. The uplink power allocation is investigated, when D2D users reuse subchannels of cellular users. The overall goal lies in minimization of energy consumption under guarantee of required data transmission rate, which belongs to a nondeterministic polynomial (NP) hard optimization problem. After analysis, we find that the constraint has implicit monotonicity, so we introduce a new vector to transform it into a monotonic optimization problem. Then, the equivalence of the problem before and after transformation is proved. To search global optimal energy conservation solution, we design a novel power allocation algorithm based on principle of reverse polyblock approximation and prove its convergence. It is demonstrated that our proposal is able to reduce power consumption in comparison to the most advanced alternatives. The proposed algorithm can be used as a benchmark to evaluate other algorithms.
引用
收藏
页码:4969 / 4977
页数:9
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