计算机与数字工程2019，Vol.47Issue(12)：3115-3120,6.DOI:10. 3969/j. issn. 1672-9722. 2019. 12. 033
一种基于能量效率与用户公平的动态分簇优化策略
A Dynamic Clustering Optimization Strategy Based on Energy Efficiency and User Fairness
田怡春 1唐亮 2田纯阳 1杨洪生 3卜智勇3
作者信息
- 1. 中国科学院上海微系统与信息技术研究所 上海 200050
- 2. 中国科学院大学 北京 100049
- 3. 上海瀚讯无线技术有限公司 上海 200335
- 折叠
摘要
Abstract
In the thesis,energy efficiency based on sleep mode and coordinated multi-points(CoMP)in wireless cellular net?works is focused on,which doesn't take load-balancing into account. In this dissertation,a dynamic clustering optimization strategy on energy efficiency and user fairness is investigated. The base station sleeping is used to improve energy efficiency and we build the joint optimization model of energy efficiency and load-balancing are built. This clustering algorithm is further utilized through a nov?el two-stage re-clustering algorithm to reduce high load on cells in hotspot areas and improve user satisfaction. The results show that unsatisfied users due to high load can be significantly reduced to 34.8% with minimal impact on energy efficiency and spectral effi?ciency.关键词
多点协作/动态分簇/能量效率/负载均衡Key words
coordinated multi-points/dynamic clustering/energy efficiency/load-balancing分类
信息技术与安全科学引用本文复制引用
田怡春,唐亮,田纯阳,杨洪生,卜智勇..一种基于能量效率与用户公平的动态分簇优化策略[J].计算机与数字工程,2019,47(12):3115-3120,6.
