Computer Science ›› 2020, Vol. 47 ›› Issue (1): 252-257.doi: 10.11896/jsjkx.181202352

• Computer Network • Previous Articles     Next Articles

Channel Allocation and Power Control Algorithm for Cognitive Satellite Networks Based on Cooperative Game Theory

ZHONG Xu-dong1,2,HE Yuan-zhi2,REN Bao-quan2,DONG Fei-hong2   

  1. (College of Communication Engineering,Army Engineering University of PLA,Nanjing 210007,China)1;
    (Academic of Military Sciences,Beijing 100141,China)2
  • Received:2018-12-18 Published:2020-01-19
  • About author:ZHONG Xu-dong,born in 1991.He is now a doctoral candidate and an engineer.His research concerns resource management for satellite networks;HE Yuan-zhi,born in 1974.She is now a Research Fellow with research concerns satellite communications and cognitive satellite networks.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61231011,91338021).

Abstract: With continuous increasing of communication service requirements,satellite networks and terrestrial networks are both facing a serious spectrum crisis because of the limitation of spectrum resource.Cognitive radio technology makes it possible torea-lize the resource sharing for network utility improvement between satellite networks and terrestrial networks.This paper investigated the power control and channel allocation problem for cognitive satellite networks,where satellite users cognitively access the same spectrum resource allocated to terrestrial networks as primary users.A reasonable system model is constructed based on the characteristics of satellite networks and terrestrial networks,and the outage probability threshold is used to represent the effect on system capacity of channel estimation error.To protect the communication performance of primary base station,the optimization function is designed based on bargaining game theory by taking into account with channel estimation errors,constrain of channel resource,maximum transmit power of cognitive satellite users and interference constrains of primary base stations.In this paper,the closed from solutions of optimal transmit power and channel allocation for the problem are derived based on convex optimization theory,and a dual iteration algorithm is designed to find the solutions.Finally,the system parameters are set based on characteristics of satellite networks,and several simulations are obtained for the proposed algorithm with Matlab simulation platform based on the parameters.The simulation results show that the proposed algorithm has a proper convergence performance under different arrival rates.It also shows that the channel estimation error can decrease the capacity performance of the network.Compared with existing methods,the proposed algorithm can improve the capacity performance with more than 50bps/Hz than the proportional fairness method when the number of beams is more than 15,and the fairness performance is more than double of the capacity maximizing method under the same condition.Therefore,the proposed algorithm can find a reasonable trade-off between system capacity and fairness among users.

Key words: Cognitive satellite network, Cooperative game, Power control, Resource allocation

CLC Number: 

  • TN915.81
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