Energy-efficient scheduling of small cells in 5G: A meta-heuristic approach

被引:21
作者
Shuvo, Md Shahin Alom [1 ,3 ]
Munna, Md Azad Rahaman [1 ]
Sarker, Sujan [2 ]
Adhikary, Tamal [1 ]
Razzaque, Md Abdur [1 ,3 ]
Hassan, Mohammad Mehedi [4 ,5 ]
Aloi, Gianluca [6 ]
Fortino, Giancarlo [6 ]
机构
[1] Univ Dhaka, Dept Comp Sci & Engn, Green Networking Res Grp, Dhaka, Bangladesh
[2] Univ Dhaka, Dept Robot & Mechatron Engn, Dhaka, Bangladesh
[3] Green Univ Bangladesh, Dept Comp Sci & Engn, Dhaka, Bangladesh
[4] King Saud Univ, Coll Comp & Informat Sci, Riyadh 11543, Saudi Arabia
[5] King Saud Univ, Res Chair Pervas & Mobile Comp, Riyadh 11543, Saudi Arabia
[6] Univ Calabria, Dept Informat Modeling Elect & Syst, I-87036 Arcavacata Di Rende, Italy
关键词
Energy-efficiency; Scheduling; Small cell; HetNet; Minimize energy; Genetic algorithm; State switching delay; QUALITY-OF-EXPERIENCE; MOBILE; CONSUMPTION; NETWORKS; SERVICES; TRADEOFF; STATIONS;
D O I
10.1016/j.jnca.2021.102986
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Scheduling of small cells in Fifth-Generation (5G) mobile network is highly important for achieving energy efficiency and providing Quality of Service (QoS) to the applications users. Minimization of energy consumption hampers QoS. This problem has been further complicated due to exponential increase of mobile application users demanding high data rate. The performances of energy-saving approaches in the literature are limited by the fact that they exploit mere historical data-driven two state operation modes of small cells. This paper formulates the problem of scheduling small cells as a non-linear optimization problem. It then offers a meta heuristic evolutionary algorithm to solve the problem in polynomial time. The proposed algorithm takes into account four operation states of small cells to minimize the energy consumption while satisfying the users' QoS. The results of our performance analysis depict that the proposed algorithm outperforms the state-of-the-art works in terms of energy-saving, switching delay, etc.
引用
收藏
页数:14
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