Reconfiguration decision making based on artificial intelligence technology in cognitive radio networks

Cognitive wireless networks introduced the reconfiguration technologies to achieve the dynamically time-varying adaptation of the environment.A reconfiguration decision making model and reconfiguration decision algorithm based on the artificial intelligence technology were presented.The reconfigurat...

Full description

Saved in:
Bibliographic Details
Main Authors: Qian HE, Zhi-yong FENG, Ping ZHANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2012-07-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)07-0096-07/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841539899242577920
author Qian HE
Zhi-yong FENG
Ping ZHANG
author_facet Qian HE
Zhi-yong FENG
Ping ZHANG
author_sort Qian HE
collection DOAJ
description Cognitive wireless networks introduced the reconfiguration technologies to achieve the dynamically time-varying adaptation of the environment.A reconfiguration decision making model and reconfiguration decision algorithm based on the artificial intelligence technology were presented.The reconfiguration decision algorithm,which include the reasoning and learning process with the help of the cognitive capabilities of awareness,reasoning and learning,could achieve adaptation of the environment and also maintain and enhance the system performance.
format Article
id doaj-art-481bcf85515149db85b841eee66203d1
institution Kabale University
issn 1000-436X
language zho
publishDate 2012-07-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-481bcf85515149db85b841eee66203d12025-01-14T06:32:22ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-07-01339610259663601Reconfiguration decision making based on artificial intelligence technology in cognitive radio networksQian HEZhi-yong FENGPing ZHANGCognitive wireless networks introduced the reconfiguration technologies to achieve the dynamically time-varying adaptation of the environment.A reconfiguration decision making model and reconfiguration decision algorithm based on the artificial intelligence technology were presented.The reconfiguration decision algorithm,which include the reasoning and learning process with the help of the cognitive capabilities of awareness,reasoning and learning,could achieve adaptation of the environment and also maintain and enhance the system performance.http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)07-0096-07/reconfiguration decisioncognitive wireless networkreasoninglearningartificial intelligence
spellingShingle Qian HE
Zhi-yong FENG
Ping ZHANG
Reconfiguration decision making based on artificial intelligence technology in cognitive radio networks
Tongxin xuebao
reconfiguration decision
cognitive wireless network
reasoning
learning
artificial intelligence
title Reconfiguration decision making based on artificial intelligence technology in cognitive radio networks
title_full Reconfiguration decision making based on artificial intelligence technology in cognitive radio networks
title_fullStr Reconfiguration decision making based on artificial intelligence technology in cognitive radio networks
title_full_unstemmed Reconfiguration decision making based on artificial intelligence technology in cognitive radio networks
title_short Reconfiguration decision making based on artificial intelligence technology in cognitive radio networks
title_sort reconfiguration decision making based on artificial intelligence technology in cognitive radio networks
topic reconfiguration decision
cognitive wireless network
reasoning
learning
artificial intelligence
url http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)07-0096-07/
work_keys_str_mv AT qianhe reconfigurationdecisionmakingbasedonartificialintelligencetechnologyincognitiveradionetworks
AT zhiyongfeng reconfigurationdecisionmakingbasedonartificialintelligencetechnologyincognitiveradionetworks
AT pingzhang reconfigurationdecisionmakingbasedonartificialintelligencetechnologyincognitiveradionetworks