超蜂窝网络资源动态调度与优化方法
发布时间：2018-11-03 09:56
【摘要】：随着无线数据业务爆炸性增长,无线通信系统日益产生巨大的能耗,已成为全球能源消耗的主要来源之一.为降低无线通信系统能耗,重点探讨超蜂窝架构下,提高网络能效的资源动态调度与优化方法.具体包括两方面:首先建模分析超蜂窝网络分离架构的能效,同时给出基于能效优化的基站自适应休眠策略;之后阐述超蜂窝网络时延与能效的折中关系,并研究能效和时延同时优化的协作策略和资源分配方案.
[Abstract]:With the explosive growth of wireless data services, wireless communication systems increasingly generate huge energy consumption, which has become one of the main sources of global energy consumption. In order to reduce the energy consumption of wireless communication system, the resource dynamic scheduling and optimization method to improve network energy efficiency under supercellular architecture is discussed. It includes two aspects: firstly, modeling and analyzing the energy efficiency of the separation architecture of supercellular network, and at the same time, giving the base station adaptive sleep strategy based on energy efficiency optimization; Then the compromise relationship between delay and energy efficiency in supercellular networks is discussed, and the cooperative strategies and resource allocation schemes for energy efficiency and delay optimization are studied.
【作者单位】： 华中科技大学电子信息与通信学院;中国科学技术大学电子工程与信息科学系;哈尔滨工业大学(深圳)电子与信息工程系;
【基金】：国家重点基础研究发展计划(973)(批准号:2012CB316004)资助项目
【分类号】：TN929.5
[Abstract]:With the explosive growth of wireless data services, wireless communication systems increasingly generate huge energy consumption, which has become one of the main sources of global energy consumption. In order to reduce the energy consumption of wireless communication system, the resource dynamic scheduling and optimization method to improve network energy efficiency under supercellular architecture is discussed. It includes two aspects: firstly, modeling and analyzing the energy efficiency of the separation architecture of supercellular network, and at the same time, giving the base station adaptive sleep strategy based on energy efficiency optimization; Then the compromise relationship between delay and energy efficiency in supercellular networks is discussed, and the cooperative strategies and resource allocation schemes for energy efficiency and delay optimization are studied.
【作者单位】： 华中科技大学电子信息与通信学院;中国科学技术大学电子工程与信息科学系;哈尔滨工业大学(深圳)电子与信息工程系;
【基金】：国家重点基础研究发展计划(973)(批准号:2012CB316004)资助项目
【分类号】：TN929.5
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