Energy Efficiency Enhancement in 5G Mobile Wireless Networks

被引:1
|
作者
Zhao, Qi [1 ]
Gerla, Mario [1 ]
机构
[1] Univ Calif Los Angeles, Dept Comp Sci, Los Angeles, CA 90024 USA
关键词
Energy efficiency; 5G networks; Mobile Wireless; Software Defined Networking;
D O I
10.1109/wowmom.2019.8792998
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In the era of 5G networks, smaller cell infrastructure with denser deployment of various kinds of base stations is leading the trend of the new generation of cellular networks. Benefits, such as higher throughput and lower latency, are driving people to perform further investigation and optimization while the energy efficiency aspect in 5G lacks enough attention. To enhance the energy efficiency of 5G and provide a green future cellular networks, we propose solutions to reduce the impact caused by several foreseen energy problems. We consider three scenarios from connection, communication and power perspectives, trying to minimize the energy consumption by either enforcing idle base stations to sleep or dynamically adjusting the signal range of base stations via software defined networking. Detailed discussion about scenarios and proposed solutions are presented though the simulation and evaluation are still on-going. More results will be presented in the near future.
引用
收藏
页数:3
相关论文
共 50 条
  • [41] Simultaneous Wireless Information and Power Transfer in 5G Mobile Networks: A Survey
    Liang, Yihan
    He, Yejun
    Qiao, Jian
    Hu, Aiguo Patrick
    2019 COMPUTING, COMMUNICATIONS AND IOT APPLICATIONS (COMCOMAP), 2019, : 460 - 465
  • [42] Intelligent secure mobile edge computing for beyond 5G wireless networks
    Lai, Shiwei
    Zhao, Rui
    Tang, Shunpu
    Xia, Junjuan
    Zhou, Fasheng
    Fan, Liseng
    PHYSICAL COMMUNICATION, 2021, 45
  • [43] Heterogeneous Statistical QoS Provisioning Over 5G Mobile Wireless Networks
    Zhang, Xi
    Cheng, Wenchi
    Zhang, Hailin
    IEEE NETWORK, 2014, 28 (06): : 46 - 53
  • [44] Mobile Assisted Directional Paging (MADP) in Emerging 5G Wireless Networks
    Agiwal, Mamta
    Saxena, Navrati
    Roy, Abhishek
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2018, 7 (03) : 416 - 419
  • [45] Bayesian Network Prediction of Mobile User Throughput in 5G Wireless Networks
    Meng, Qingmin
    Fang, Xiaoqiang
    Yue, Wenjing
    Meng, Yang
    Wei, Jingcheng
    2018 10TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS (ICCCAS 2018), 2018, : 291 - 295
  • [46] Review of Heterogeneous Wireless Fusion in Mobile 5G Networks: Benefits and Challenges
    Gao, Yuan
    Hong, Ao
    Zhou, Quan
    Li, Zhaoyang
    Zhou, Weigui
    Cheng, Shaochi
    Li, Xiangyang
    Li, Yi
    COLLABORATE COMPUTING: NETWORKING, APPLICATIONS AND WORKSHARING, COLLABORATECOM 2016, 2017, 201 : 453 - 461
  • [47] A Multicast Technique for Fixed and Mobile Optical Wireless Backhaul in 5G Networks
    Atakora, Michael
    Chenji, Harsha
    IEEE ACCESS, 2018, 6 : 27491 - 27506
  • [48] Non-resonant Frequencies in Mobile Wireless 5G Communication Networks
    Emanuele Calabrò
    Salvatore Magazù
    Wireless Personal Communications, 2020, 115 : 1387 - 1399
  • [49] TOWARD AN INTELLIGENT, MULTIPURPOSE 5G NETWORK Enhancing Mobile Wireless Networks
    Yang, Jin
    Chan, Yee-Sin
    IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2019, 14 (02): : 53 - 60
  • [50] Dynamic Tradeoff between Energy and Throughput in Wireless 5G Networks
    Gueguen, Cedric
    Manini, Malo
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2018,