METAHEURISTICS FOR THE DEPLOYMENT OF 5G

被引：40
|
作者：
Tsai, Chun-Wei [1 ]
Cho, Hsin-Hung [2 ]
Shih, Timothy K. [3 ]
Pan, Jeng-Shyang [4 ]
Rodrigues, Joel J. P. C. [5 ,6 ]
机构：
[1] Natl Ilan Univ, Dept Comp Sci & Informat Engn, Yilan 260, Taiwan
[2] Natl Cent Univ, Dept Comp Sci & Informat Engn, Zhongli, Taiwan
[3] Natl Cent Univ, Zhongli, Taiwan
[4] Fujian Univ Technol, Fujian, Peoples R China
[5] Univ Beira Interior, Inst Telecomunicacoes, Dept Informat, Covilha, Portugal
[6] Univ Fortaleza, Fortaleza, Ceara, Brazil
来源：
IEEE WIRELESS COMMUNICATIONS | 2015年 / 22卷 / 06期
关键词：
TECHNOLOGIES; OPTIMIZATION;
D O I：
10.1109/MWC.2015.7368823
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
It is not difficult to anticipate that the system capacity and spectral efficiency of 5G will be greater than those of 4G, and so will the number of network-connected wireless devices. Moreover, the infrastructure of wireless communications today will not meet the requirements of a 5G environment because a large number of traffic flows will be generated between a large number of heterogeneous devices. The deployment strategy is one of the promising solutions to meet the expected demands of 5G. This article begins with a brief review of the deployment problem of wireless communication and a hyper-dense deployment problem (HDDP) definition for the requirements of 5G. A simple example for illustrating how a metaheuristic algorithm can be used to solve the HDDP is then given. Finally, some open and possible research issues are discussed to suggest future research trends on this problem.
引用
收藏
页码：40 / 46
页数：7
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