Research Article
Design and Implementation of D2D Communication-Based 5G Cloud Radio Access Networks Cell Outage Compensation Method
@INPROCEEDINGS{10.1007/978-3-030-73562-3_3, author={Junli Mao and Donghong Wei and Qicai Wang and Haoyu Wang and Peng Yu}, title={Design and Implementation of D2D Communication-Based 5G Cloud Radio Access Networks Cell Outage Compensation Method}, proceedings={Smart Grid and Innovative Frontiers in Telecommunications. 5th EAI International Conference, SmartGIFT 2020, Chicago, USA, December 12, 2020, Proceedings}, proceedings_a={SMARTGIFT}, year={2021}, month={7}, keywords={Power cyber-physical system Routing re-construction Genetic algorithm}, doi={10.1007/978-3-030-73562-3_3} }- Junli Mao
Donghong Wei
Qicai Wang
Haoyu Wang
Peng Yu
Year: 2021
Design and Implementation of D2D Communication-Based 5G Cloud Radio Access Networks Cell Outage Compensation Method
SMARTGIFT
Springer
DOI: 10.1007/978-3-030-73562-3_3
Abstract
As 5G officially enters the commercial era, heterogeneous networks will face massive data traffic requirements and frequent communication overheads in the future. How to ensure user service quality and reduce energy consumption is a key challenge for major operators. The wireless cloud network is considered as one of the architectures to solve this problem, and its biggest advantage is that it can quickly and flexibly access the dynamically configured resources of the shared pool. Existing research on cell interruption compensation technology mainly focuses on the optimization and adjustment of parameters of neighboring cells, which easily affects the original network topology. This paper proposes a cell interruption compensation scheme based on D2D technology, focusing on routing and resource allocation. In two stages of research, a routing algorithm based on the attributes of social networks was proposed, and the encounter model in social networks was introduced in the resource allocation link. Simulation results show that the scheme further reduces system energy consumption and delays the growth rate of energy consumption compared with traditional methods.
