Multiagent Q-Learning for Aloha-Like Spectrum Access in Cognitive Radio Systems
An Aloha-like spectrum access scheme without negotiation is considered for multiuser and multichannel cognitive radio systems. To avoid collisions incurred by the lack of coordination, each secondary user learns how to select channels according to its experience. Multiagent reinforcement leaning (MA...
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Format: | Article |
Language: | English |
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SpringerOpen
2010-01-01
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Series: | EURASIP Journal on Wireless Communications and Networking |
Online Access: | http://dx.doi.org/10.1155/2010/876216 |