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

• Papers • Previous Articles     Next Articles

Energy saving in uplink cognitive cellular network

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

  1. 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

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

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