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5G超密集网络绿色中继算法研究

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文章针对轻载蜂窝网络中待转移移动台在切换中继接入点过程中存在的能耗管控问题,提出一种服务质量级的5G超密集网络绿色中继算法.该算法通过识别中继站及中继网络类型来制定基于信道差异化的绿色中继方案.所制定的方案有效地约束了设备到设备数据通信全信道、中继站以及移动台的能耗.同时引入载荷评估机制并通过最优速率接入函数从最优中继信道中再次筛选出更优中继方案,有效地规避了待转移移动台接入点切换后全网载荷失衡的风险.实验结果表明,绿色中继算法可在确保设备到设备数据通信服务质量的同时实现能耗最优管理.在覆盖范围越大、移动台越多的 5G超密集网络中,算法能耗管理优势越加明显.
Research on Green Relay Algorithm for 5G Ultra Dense Networks
Aiming at the energy consumption control problem of mobile stations to be transferred in light load cellular networks in the process of switching relay access points,a green relay algorithm for 5G ultra dense networks with quality of service was proposed.This algorithm developed a green relay scheme based on channel differentiation by identif-ying relay stations and relay network types.The proposed scheme effectively constrained the energy consumption of all channels of device to device data communication,relay stations,and mobile stations.At the same time,a load assess-ment mechanism was introduced and the optimal rate access function was used to screen out more optimal relay schemes from the optimal relay channels,effectively avoiding the risk of overall network load imbalance after the switching of the ac-cess points of the mobile station to be transferred.The experimental results showed that the green relay algorithm could a-chieve optimal energy consumption management while ensuring the quality of data communication service from devices to devices.In 5G ultra dense networks with larger coverage and more mobile devices,the energy management advantages of algorithms were more obvious.

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合肥财经职业学院 安徽合肥 230601

绿色 中继 约束 载荷

安徽省高校自然科学研究重点项目安徽省高校自然科学研究重点项目

2022AH0530372023 AH052570

2024

九江学院学报(自然科学版)
九江学院

九江学院学报(自然科学版)

影响因子:0.304
ISSN:
年,卷(期):2024.39(1)
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