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[ "薛亚辉(1995- ),男,中国移动通信有限公司研究院研究员,主要研究方向为4G、5G和6G等无线通信网络节能技术" ]
[ "邵泽才(1977- ),男,中国移动通信有限公司研究院高级研究员、高级工程师,主要研究方向为4G、5G和6G无线设备节能技术、方案制定、标准化和测试等" ]
[ "崔春风(1973- ),男,中国移动通信有限公司研究院未来研究院院长,主要研究方向为4G、5G和6G等多代移动通信技术与标准制定" ]
[ "金婧(1986- ),女,中国移动通信有限公司研究院高级研究员、高级工程师,主要研究方向为无线通信、MIMO、多用户波束成形、干扰消除等" ]
[ "王菡凝(1992- ),女,中国移动通信有限公司研究院研究员,主要研究方向为无线通信、MIMO、稀布阵、可见光等" ]
网络出版日期:2022-09,
纸质出版日期:2022-09-20
移动端阅览
薛亚辉, 邵泽才, 崔春风, 等. 4G与5G双网共存时能效最优策略[J]. 电信科学, 2022,38(9):187-192.
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.
薛亚辉, 邵泽才, 崔春风, 等. 4G与5G双网共存时能效最优策略[J]. 电信科学, 2022,38(9):187-192. DOI: 10.11959/j.issn.1000-0801.2022098.
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.
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%。
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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