认知蜂窝网络环境下的上行节能方法研究

doi:10.3969/j.issn.1000-436x.2012.z2.020

通信学报 ›› 2012, Vol. 33 ›› Issue (Z2): 153-159.doi: 10.3969/j.issn.1000-436x.2012.z2.020

认知蜂窝网络环境下的上行节能方法研究

马骁,盛敏,张琰,李渝舟

西安电子科技大学 ISN国家重点实验室信息科学研究所，陕西西安 710071

出版日期:2012-11-25 发布日期:2017-08-03
基金资助:
国家自然科学基金资助项目;国家自然科学基金资助项目;国家重点基础研究发展计划（“973”计划）基金资助项目;高等学校学科创新引智计划（“111”计划）基金资助项目;国家科技重大专项基金资助项目;国家科技重大专项基金资助项目;陕西省科学技术研究发展计划基金资助项目

Energy saving in uplink cognitive cellular network

Xiao MA,Min SHENG,Yan ZHANG,Yu-zhou LI

The State Key Lab of ISN＆＆Information Science Institute,Xidian University,Xi’an 710071,China
The State Key Lab of ISN＆Information Science Institute,Xidian University,Xi’an 710071,China

Online:2012-11-25 Published:2017-08-03
Supported by:
The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Basic Research Program of China;The 111 Project;The National Science and Technology Major Projects;The National Science and Technology Major Projects;Shanxi Province Science and Technology Research and Development Program

摘要/Abstract

摘要：

针对蜂窝网用户在高速数据传输时能耗过高的问题，基于认知蜂窝网络模型，提出了一种通过合理利用认知网络资源进行多网络并发传输的最大能效传输策略。该策略利用多模终端可以同时接入不同网络进行并发传输的特点，建立用户能效模型，并通过研究并发传输时不同网络可用信道状态、能耗和数据传输速率之间的关系，得出使用户能效最大的认知网络资源使用和数据传输速率分配算法。仿真结果表明，该最大能效策略能够有效提升用户的能效。

关键词: 认知蜂窝网络, 能量利用率, 并发传输

Abstract:

To solve the problem that high data rate transmission will cause extremely energy consumption of users,a maximum energy efficiency(EE)strategy,based on the cognitive cellular network model,was proposed by utilizing the cognitive resources and concurrent transmission.According to the characteristics that the multimode user equipment can connect with heterogeneous networks simultaneously,the proposed strategy,establishes the EE model and obtains the algorithm for selecting the cognitive resources and distributing the data rate by analyzing the relationship among the channel state information of available networks,energy consumption and data rate.Simulation results show that the proposed strategy can increase the EE of MUE efficiently

Key words: cognitive cellular network, energy efficiency, concurrent transmission

马骁,盛敏,张琰,李渝舟. 认知蜂窝网络环境下的上行节能方法研究[J]. 通信学报, 2012, 33(Z2): 153-159.

Xiao MA,Min SHENG,Yan ZHANG,Yu-zhou LI. Energy saving in uplink cognitive cellular network[J]. Journal on Communications, 2012, 33(Z2): 153-159.

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认知蜂窝网络环境下的上行节能方法研究

Energy saving in uplink cognitive cellular network

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