Key techniques of cognitive convergence networks

Concentrating on the development of heterogeneous cellular networks and cognitive radio networks, the cogni-tive cellular networks, femtocell and WiFi 2.0 networks were firstly summarized, respectively. The promising combina-tion potentials of them motivates to define the newly-form networking archi...

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Main Authors: Chun-gang YANG, Jian YUE, Jian-dong LI, Min SHENG, Hong-yan LI, Qin LIU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-06-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.06.022/
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author Chun-gang YANG
Jian YUE
Jian-dong LI
Min SHENG
Hong-yan LI
Qin LIU
author_facet Chun-gang YANG
Jian YUE
Jian-dong LI
Min SHENG
Hong-yan LI
Qin LIU
author_sort Chun-gang YANG
collection DOAJ
description Concentrating on the development of heterogeneous cellular networks and cognitive radio networks, the cogni-tive cellular networks, femtocell and WiFi 2.0 networks were firstly summarized, respectively. The promising combina-tion potentials of them motivates to define the newly-form networking architecture termed as the cognitive convergence network. In addition, two cognition loops of cognitive resource management and cognitive interference management were proposed to mitigate the intra-tier and inter-tier interference. These cognition loops can help to improve the end-to-end quality of user experience. Finally, the future development and the key techniques of the presented the cognitive conver-gence networks was looked forward.
format Article
id doaj-art-9dd044cfd8c44c608237a40674b1a7e4
institution Kabale University
issn 1000-436X
language zho
publishDate 2014-06-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-9dd044cfd8c44c608237a40674b1a7e42025-01-14T06:43:38ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-06-013516917959682391Key techniques of cognitive convergence networksChun-gang YANGJian YUEJian-dong LIMin SHENGHong-yan LIQin LIUConcentrating on the development of heterogeneous cellular networks and cognitive radio networks, the cogni-tive cellular networks, femtocell and WiFi 2.0 networks were firstly summarized, respectively. The promising combina-tion potentials of them motivates to define the newly-form networking architecture termed as the cognitive convergence network. In addition, two cognition loops of cognitive resource management and cognitive interference management were proposed to mitigate the intra-tier and inter-tier interference. These cognition loops can help to improve the end-to-end quality of user experience. Finally, the future development and the key techniques of the presented the cognitive conver-gence networks was looked forward.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.06.022/cognitive radio networkinterference managementresource managementheterogeneous network
spellingShingle Chun-gang YANG
Jian YUE
Jian-dong LI
Min SHENG
Hong-yan LI
Qin LIU
Key techniques of cognitive convergence networks
Tongxin xuebao
cognitive radio network
interference management
resource management
heterogeneous network
title Key techniques of cognitive convergence networks
title_full Key techniques of cognitive convergence networks
title_fullStr Key techniques of cognitive convergence networks
title_full_unstemmed Key techniques of cognitive convergence networks
title_short Key techniques of cognitive convergence networks
title_sort key techniques of cognitive convergence networks
topic cognitive radio network
interference management
resource management
heterogeneous network
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.06.022/
work_keys_str_mv AT chungangyang keytechniquesofcognitiveconvergencenetworks
AT jianyue keytechniquesofcognitiveconvergencenetworks
AT jiandongli keytechniquesofcognitiveconvergencenetworks
AT minsheng keytechniquesofcognitiveconvergencenetworks
AT hongyanli keytechniquesofcognitiveconvergencenetworks
AT qinliu keytechniquesofcognitiveconvergencenetworks