An Investigation of Energy Efficiency in 5G Wireless Networks

被引:0
|
作者
Rizvi, Safdar [1 ]
Aziz, Asif [2 ]
Jilani, Muhammad Taha [3 ]
Armi, Nasrullah [4 ]
Muhammad, Ghulam [1 ]
Butt, Shujaat H. [1 ]
机构
[1] Bahria Univ, Dept Comp Sci, Karachi Campus, Karachi, Pakistan
[2] Sir Syed Univ Engn & Technol, Dept Telecommun Engn, Karachi, Pakistan
[3] PAF KIET, Grad Sch Sci & Engn, Karachi, Pakistan
[4] Jazan Univ, Dept Comp Engn & Network, Jizan, Saudi Arabia
关键词
energy efficiency; 5G network; Heterogeneous network (HetNet); stochastic geometry;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In next generation wireless networks along with the overwhelming demand of high data rate and network capacity, the user demands ubiquitous connectivity with the network. In order to fulfill the demand of anywhere at any time data services, the network operators have to install more and more base stations that eventually leads towards high power consumption. For this, the potential solution is derived from 5G network that proposes a heterogeneous environment of wireless access networks. More particularly, deployment of Femto and Pico cell under the umbrella of Macro cell base stations (BS). Such networking strategy will result high network capacity and energy efficiency along with better network coverage. In this article, an analysis of energy efficiency has been carried out by using two-tier and three tier network configurations. The simulation results demonstrate that rational deployment of small cells improves the energy efficiency of wireless network.
引用
收藏
页码:142 / 145
页数:4
相关论文
共 50 条
  • [1] Energy Efficiency Enhancement in 5G Mobile Wireless Networks
    Zhao, Qi
    Gerla, Mario
    [J]. 2019 IEEE 20TH INTERNATIONAL SYMPOSIUM ON A WORLD OF WIRELESS, MOBILE AND MULTIMEDIA NETWORKS (WOWMOM), 2019,
  • [2] Evaluation of Potential Energy Efficiency Gain of 5G Wireless Networks
    Chen, Yami
    Xu, Zhikun
    He, Jinwei
    Pan, Zhengang
    Chih-Lin, I
    Wang, Sen
    [J]. 2015 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2015,
  • [3] A Reinforcement Learning Approach to Energy Efficiency and QoS in 5G Wireless Networks
    Wang, Ying
    Dai, Xiangming
    Wang, Jason Min
    Bensaou, Brahim
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2019, 37 (06) : 1413 - 1423
  • [4] Concurrent transmission for energy efficiency of user equipment in 5G wireless communication networks
    Xiao MA
    Min SHENG
    Jiandong LI
    Qiuju YANG
    [J]. Science China(Information Sciences), 2016, 59 (02) : 82 - 96
  • [5] Concurrent transmission for energy efficiency of user equipment in 5G wireless communication networks
    Ma, Xiao
    Sheng, Min
    Li, Jiandong
    Yang, Qiuju
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2016, 59 (02) : 1 - 15
  • [6] Cost Efficiency Optimization of 5G Wireless Backhaul Networks
    Ge, Xiaohu
    Tu, Song
    Mao, Guoqiang
    Lau, Vincent K. N.
    Pan, Linghui
    [J]. IEEE TRANSACTIONS ON MOBILE COMPUTING, 2019, 18 (12) : 2796 - 2810
  • [7] Optimizing the Energy Efficiency for Future 5G Networks
    Malokul, Betim
    Krasniqi, Bujar
    Ademaj, Fjolla
    [J]. PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING, (IWSSIP 2016), 2016, : 253 - 257
  • [8] Energy Efficiency Performance for 5G Cellular Networks
    Bohli, Afef
    Bouallegue, Ridha
    [J]. WIRED/WIRELESS INTERNET COMMUNICATIONS, WWIC 2017, 2017, 10372 : 99 - 111
  • [9] 5G Networks: Challenges and Techniques for Energy Efficiency
    Azhar, Madeha
    Shabbir, Amna
    [J]. ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2018, 8 (02) : 2864 - 2868
  • [10] Investigation of LDPC codes with interleaving for 5G wireless networks
    Pathak, Pooja
    Bhatia, Richa
    [J]. ANNALS OF TELECOMMUNICATIONS, 2024,