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认知蜂窝网络环境下的上行节能方法研究
引用本文: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.
作者姓名:马 骁  盛 敏  张 琰  李渝舟
基金项目: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: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。


Energy saving in uplink cognitive cellular network
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.
Authors:Xiao MA  Min SHENG  Yan ZHANG  Yu-zhou LI
Affiliation: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
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
Keywords:cognitive cellular network  energy efficiency  concurrent transmission  
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