Optimal strategy for maximizing energy efficiency of 4G and 5G coexistence network

Yahui XUE; Zecai SHAO; Chunfeng CUI; Jing JIN; Hanning WANG

doi:10.11959/j.issn.1000-0801.2022098

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Optimal strategy for maximizing energy efficiency of 4G and 5G coexistence network

Engineering and Application | 更新时间：2024-06-05

- Optimal strategy for maximizing energy efficiency of 4G and 5G coexistence network
- Telecommunications Science Vol. 38, Issue 9, Pages: 187-192(2022)
- 作者机构：
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- DOI：10.11959/j.issn.1000-0801.2022098
  CLC： TP393
- Published Online：2022-09，
  
  Published：20 September 2022
- 稿件说明：
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Yahui XUE, Zecai SHAO, Chunfeng CUI, et al. Optimal strategy for maximizing energy efficiency of 4G and 5G coexistence network[J]. Telecommunications science, 2022, 38(9): 187-192.
DOI：

Yahui XUE, Zecai SHAO, Chunfeng CUI, et al. Optimal strategy for maximizing energy efficiency of 4G and 5G coexistence network[J]. Telecommunications science, 2022, 38(9): 187-192. DOI： 10.11959/j.issn.1000-0801.2022098.

摘要

无线网络的能量效率逐渐成为评估网络的重要指标，4G与5G能效存在差别，双网共存时，如何提高无线网络能效至关重要。为分析4G与5G能效差异，从基站能耗组成出发，通过实测数据建立4G和5G基站能耗模型，然后进行仿真，计算其能效。结果表明，4G和5G存在各自能效占优区间，单站吞吐量小于500 Mbit/s时，4G效更优；单站吞吐量大于500 Mbit/s时，5G能效更优。双网共存时，吞吐量小于500 Mbit/s时只开4G；吞吐量大于500 Mbit/s，只开5G，单站功耗可降低53.4%，能效可提升116.4%。

Abstract

The energy efficiency of wireless networks has gradually become an important indicator for evaluating network performance.It’s very important to improve the energy efficiency of the coexisting 4G and 5G networks as there are differences in energy efficiency of them.Firstly

the energy consumption composition of base station was analyzed

energy consumption models for 4G and 5G base stations through measured data were established

and then its energy efficiency was evaluated through simulations.The results show that 4G and 5G have their own optimal energy-efficiency areas separated by the critical point of 500 Mbit/s

above which the 5G energy efficiency is better.When dual networks operate simultaneously under the proposed-solution where only 4G is used when the throughput is less than 500 Mbit/s and only 5G is used otherwise

the power consumption of a single station can be reduced by 53.4% and the energy efficiency can be improved by 116.4%.

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references

ANDRAE A S G . New perspectives on internet electricity use in 2030 [J ] . Engineering and Applied Science Letters , 2020 , 3 ( 2 ): 19 - 31 .

ITU . Greenhouse gas emissions trajectories for the information and communication technology sector compatible with the UNFCCC Paris agreement:ITU-T L.1470 [R ] . 2020 .

I C L , HAN S F , BIAN S . Energy-efficient 5G for a greener future [J ] . Nature Electronics , 2020 , 3 ( 4 ): 182 - 184 .

楼梦婷 , 金婧 , 王菡凝 , 等 . 面向大规模天线系统的稀布阵技术研究与评估 [J ] . 电信科学 , 2021 , 37 ( 9 ): 48 - 56 .

LOU M T , JIN J , WANG H N , et al . Research and evaluation of sparse array for massive MIMO [J ] . Telecommunications Science , 2021 , 37 ( 9 ): 48 - 56 .

LI G Y , XU Z , CONG X , et al . Energy-efficient wireless communications:tutorial,survey,and open issues [J ] . IEEE Wireless Communications , 2011 , 18 ( 6 ): 28 - 35 .

FENG D , JIANG C , LIM G , et al . A survey of energy-efficient wireless communications [J ] . IEEE Communications Surveys ＆Tutorials , 2013 , 15 ( 1 ): 167 - 178 .

DAVASLIOGLU K , GITLIN R D . 5G green networking:enabling technologies,potentials,and challenges [C ] // Proceedings of 2016 IEEE 17th Annual Wireless and Microwave Technology Conference . Piscataway:IEEE Press , 2016 : 1 - 6 .

XIAO Z , LIU H , VINCENT H , et al . Analytical study on multi-tier 5G heterogeneous small cell networks:coverage performance and energy efficiency [J ] . Sensors (Basel,Switzerland) , 2014 , 16 ( 11 ).

PRASAD K , HOSSAIN E , BHARGAVA V K . Energy efficiency in massive MIMO-based 5G networks:opportunities and challenges [J ] . IEEE Wireless Communications , 2017 : 2 - 10 .

PEDRAM M , WANG L . Energy efficiency in 5G cellular network systems [J ] . IEEE Design ＆ Test , 2020 , 37 ( 1 ): 64 - 78 .

NGMN . Green future networks network energy efficiency V1.0 [R ] . 2021 .

FRENGER P , TANO R . More capacity and less power:how 5G NR can reduce network energy consumption [C ] // Proceedings of 2019 IEEE 89th Vehicular Technology Conference . Piscataway:IEEE Press , 2019 : 1 - 5 .

帅农村 , 邵泽才 . 基于多元线性回归算法的 5G 基站能耗模型 [J ] . 移动通信 , 2020 , 44 ( 5 ): 32 - 36 , 41 .

SHUAI N C , SHAO Z C . 5G base station energy consumption model based on multiple linear regression algorithm [J ] . Mobile Communications , 2020 , 44 ( 5 ): 32 - 36 , 41 .

3GPP . Further advancements for E-UTRA physical layer aspects:TR 36.814,v9.2.0 [S ] . 2017 .

MARZETTA T L . Noncooperative cellular wireless with unlimited numbers of base station antennas [J ] . IEEE Transactions on Wireless Communications , 2010 , 9 ( 11 ): 3590 - 3600 .

BJÖRNSON E , SANGUINETTI L , HOYDIS J , et al . Optimal design of energy-efficient multi-user MIMO systems:is massive MIMO the answer? [J ] . IEEE Transactions on Wireless Communications , 2015 , 14 ( 6 ): 3059 - 3075 .

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