Decentralized Cognitive MAC Protocol Design Based on POMDP and Q-Learning

被引:0
|
作者
Lan, Zhongli [1 ]
Jiang, Hong [1 ]
Wu, Xiaoli [2 ]
机构
[1] Southwest Univ Sci & Technol, Sch Informat Engn, Mianyang, Peoples R China
[2] China Acad Engn Phys, Inst Nucl Phys & Chem, Mianyang, Peoples R China
基金
美国国家科学基金会;
关键词
Q-Learning; POMDP; Cognitive MAC Protocol; Decentralized; NETWORKS;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
A decentralized cognitive MAC protocol is proposed in this paper, whose core depends on the partially observed Markov process (POMDP) and Q-Learning. Limited by the hardware and environment, a secondary user may not be able to have ability to sense the entire spectrum space. Therefore, the POMDP is exploited to model the secondary network. In this paper, Q-Learning is applied to solve the POMDP because it can make full advantage of the past observation and decision experiences to optimize current action, and needs not transfer the POMDP into a belief MDP. The numeral simulation results show that Q-Learning-based decentralized cognitive MAC protocol improves the overall performance of the networks.
引用
收藏
页码:548 / 551
页数:4
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