Clustering-based energy-saving algorithm in ultra-dense network

3rd International Conference on Advances in Energy, Environment and Chemical Engineering

能源学;生态环境科学;化学工业

Huang, Junwei^1 ; Zhou, Pengguang^1 ; Teng, Deyang^1 ; Zhang, Renchi^1 ; Xu, Hao^1

School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China^1

关键词: Energy saving systems;    Large amounts;    Number of iterations;    Opening time;    Service requests;    Small cells;    Spectrum efficiency;    Ultra-dense networks;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/69/1/012145/pdf
DOI  :  10.1088/1755-1315/69/1/012145

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In Ultra-dense Networks (UDN), dense deployment of low power small base stations will cause serious small cells interference and a large amount of energy consumption. The purpose of this paper is to explore the method of reducing small cells interference and energy saving system in UDN, and we innovatively propose a sleep-waking-active (SWA) scheme. The scheme decreases the user outage causing by failure to detect users' service requests, shortens the opening time of active base stations directly switching to sleep mode; we further proposes a Vertex Surrounding Clustering(VSC) algorithm, which first colours the small cells with the most strongest interference and next extends to the adjacent small cells. VSC algorithm can use the least colour to stain the small cell, reduce the number of iterations and promote the efficiency of colouring. The simulation results show that SWA scheme can effectively improve the system Energy Efficiency (EE), the VSC algorithm can reduce the small cells interference and optimize the users' Spectrum Efficiency (SE) and throughput.