Journal on Communications ›› 2017, Vol. 38 ›› Issue (9): 176-184.doi: 10.11959/j.issn.1000-436x.2017191

• Correspondences • Previous Articles     Next Articles

Power allocation algorithm for cognitive radio energy harvesting networks based on energy cooperation

Zhen-wei XIE1,Qi ZHU2   

  1. 1 Jiangsu Province Key Lab of Wireless Communications,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
    2 Key Lab on Wideband Wireless Communications and Sensor Network Technology of Ministry of Education,Nanjing 210003,China
  • Revised:2017-07-12 Online:2017-09-01 Published:2017-10-18
  • Supported by:
    The National Natural Science Foundation of China(61571234);The National Natural Science Foundation of China(61631020);The National Basic Research Program of China (973 Program)(2013CB329005)

Abstract:

An algorithm to optimize the power allocation by maximizing the system throughput in cognitive radio energy harvesting networks was proposed.The algorithm formulated the throughput optimization model subject to the causality constraints of the harvested energy within the two secondary users and the interference constraint of the primary user.In addition,by applying the variable-substitution method and problem equivalence transformation,the joint optimization problem of power and cooperative energy was decoupled into two problems:a power allocation problem and a cooperative energy one.The former problem could be solved by iterating the two decoupled problems.As shown in the simulation results,the energy cooperation can significantly improve the system throughput when the harvested energy difference between two nodes is rather large.

Key words: cognitive radio, energy harvesting, energy cooperation, throughput maximization

CLC Number: 

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