A Q-learning-Based Dynamic Spectrum Allocation Algorithm
Contraposing the status of spectrum resources is tension and spectrum utilization is low,the dynamic spectrum allocation technology is studied.Due to lack of central control entity in distributed cognitive networks,cognitive users need to select channel and power for communication intellective.Based on the intelligence of Q-learning,we proposed an improved dynamic spectrum allocation algorithm.The state space,action space and reward function of the algorithm are built in the paper,and the agents are guided to perform actions through designing the reward function.The algorithm gives fully autonomy selective to cognitive users.This strengthened the dynamic management of spectrum resources.We also did many experiments.Numerical simulation results show that the proposed algorithm can not only realize the autonomy of channel and power allocation,but also improve system throughput compared to others.It boosts spectrum utilization effectively.
cognitive radio Q-learning dynamic spectrum allocation channel and power selection autonomy
Chunying Lv Jiyang Wang Fei Yu Hui Dai
Electronic System Engineering Company of China Beijing,China
国际会议
杭州
英文
771-775
2013-03-22（万方平台首次上网日期，不代表论文的发表时间）