认知融合网络的关键技术

doi:10.3969/j.issn.1000-436x.2014.06.022

摘要/Abstract

摘要：

关注异构蜂窝网络和认知无线网络的发展，分别总结了认知异构蜂窝网络、认知家庭基站和认知WiFi 2.0网络的概念和相应研究，凝练了认知融合网络的概念。针对认知融合网络中宏站与多小站共存于相同频段，必然导致严重的干扰问题，提出了认知资源管理和认知干扰管理环路框架，实现资源和干扰的高效管理，有效提升端到端的用户体验质量。最后展望了认知融合网络的未来发展方向和关键技术问题。

关键词: 认知无线网络, 干扰管理, 资源管理, 异构网络

Abstract:

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.

Key words: cognitive radio network, interference management, resource management, heterogeneous network

杨春刚,岳健,李建东,盛敏,李红艳,刘勤. 认知融合网络的关键技术[J]. 通信学报, 2014, 35(6): 169-179.

Chun-gang YANG,Jian YUE,Jian-dong LI,Min SHENG,Hong-yan LI,Qin LIU. Key techniques of cognitive convergence networks[J]. Journal on Communications, 2014, 35(6): 169-179.

图/表 6

图1

图2

图3

图4

图5

图6

参考文献 52

[1]	ITU-T, SERIES Y: Global Information Infrastructure, Internet Proto-col Aspects and Next-Generation Networks-Next-Generation Net-works Future Networks[S]. ITU-T Recommendations Advanced Search, 2011.
[2]	IEEE Standards Coordinating Committee 41, IEEE Standard for Ar-chitectural Building Blocks Enabling Network-Device Distributed De-cision Making for Optimized Radio Resource Usage in Heterogeneous Wireless Access Networks[S]. 2009.
[3]	HU H L , ZHANG J , ZHENG X Y , et al. Self-configuration and self-optimization for LTE networks[J]. IEEE Communications Maga-zine, 2010,48(2): 94-100.
[4]	Requirements, Candidate Solutions ＆Technology Roadmap for LTE Rel-12 Onward[S]. 3GPP RWS-120010, 2012.
[5]	MITOLA J . Cognitive radio: an integrated agent architecture for soft-ware defined radio[A]. Doctor of Technology, Royal Institute of Technology[C]. Stockholm, Sweden, 2000.
[6]	HAYKIN S . Cognitive radio: brain-empowered wireless communica-tions[J]. IEEE Journal on Selected Areas in Communications, 2005,23(2): 201-220.
[7]	AKYILDIZ I F , LEE W Y , VURAN M C , et al. Next genera-tion/dynamic spectrum access/cognitive radio wireless networks: a survey[J]. Computer Networks, 2006,50(13): 2127-2159.
[8]	THOMAS R W , FRIEND D H , DASILVA L A , et al. Cognitive net-works: adaptation and learning to achieve end-to-end performance ob-jectives[J]. IEEE Communications Magazine, 2006,44(12): 51-57.
[9]	WANG J , GHOSH M , CHALLAPALI K . Emerging cognitive radio applications: a survey[J]. IEEE Communications Magazine, 2011,49(3): 74-81.
[10]	LETAIEF K B , ZHANG W . Cooperative communications for cogni-tive radio networks[A]. Proceedings of the IEEE[C]. 2009,97(5): 878-893.
[11]	WU X , MURHERJEE B , GHOSAL D . Hierarchical architectures in the third-generation cellular network[J]. IEEE Wireless Communications, 2004,11(3): 62-71.
[12]	DAMNJANOVIC A , MONTOJO J , WEI Y , et al. A survey on 3GPP heterogeneous networks[J]. IEEE Wireless Communications, 2013,51(5): 36-45.
[13]	PENG M , LIANG D , WEI Y , et al. Self-configuration and self-opti-mization in LTE-advanced heterogeneous networks[J]. IEEE Commu-nications Magazine, 2013,51(5): 36-45.
[14]	PENG M , LIU Y , WEI D , et al. Hierarchical cooperation relay based heterogeneous networks[J]. IEEE Wireless Communication, 2011,18(3): 42-50.
[15]	YANG C , LI J , SHENG M , et al. Green hetNets: a cognitive radio idea[J]. IET Communications, 2012,6(13): 1952-1959.
[16]	HUANG J W , KRISHNAMURTHY V . Cognitive base stations in LTE/3GPP femtocells: a correlated equilibrium game-theoretic ap-proach[J]. IEEE Transactions on Communications, 2011,59(12): 3485-3493.
[17]	GHAREHSHIRAN O N , ATTAR A , KRISHNAMURTHY V . Col-laborative sub-channel allocation in cognitive LTE femtocells: a co-operative game-theoretic approach[J]. IEEE Transactions on Commu-nications, 2013,61(1): 325-334.
[18]	URGAONKAR R , NEELY M J . Opportunistic cooperation in cogni-tive femtocell networks[J]. IEEE JSAC, 2012,30(3): 607-616.
[19]	ELSAWY H , HOSSAIN E , KIM D I . HetNets with cognitive small cells: user offloading and distributed channel access techniques[J]. IEEE Communications Magazine, 2013,51(6): 28-36.
[20]	ELSAWY H , HOSSAIN E . Two-tier hetnets with cognitive femtocells:downlink performance modeling and analysis in a multi-channel envi-ronment[J]. IEEE Trans Mobile Computing, 2014,13(3): 649-663.
[21]	AL-RUBAYE S , AL-DULAIMI A , COSMAS J . Cognitive femtocell:future wireless networks for indoor applications[J]. IEEE Veh Technol Mag, 2011,6(1): 44-51.
[22]	HU H L . Cognitive femtocell networks: an overlay architecture for localized dynamic spectrum access[J]. IEEE Trans Wirel Commun, 2011,17(4): 62-70.
[23]	LIN P , ZHANG J , CHEN Y J , et al. Macro-Femto heterogeneous network deployment and management: from business models to tech-nical solutions[J]. IEEE Wireless Communications, 2011,18(3): 64-70.
[24]	BENNIS M , SIMSEK M , CZYLWIK A , et al. When cellular meets WiFi in wireless small cell networks[J]. IEEE Communications Maga-zine, 2013,51(6): 35-41.
[25]	HAYKIN S . Cognitive radar: a way of the future[J]. IEEE Signal Processing Magazine, 2006,23(1): 30-40.
[26]	GUR P , ALAGO Z F . Green wireless communications via cognitive dimension: an overview[J]. IEEE Network, 2011,25(2): 50-56.
[27]	BAHL P , CHANDRA R , MOSCIBRODA T . White space networking with WiFi like connectivity[A]. ACM SIGCOMM[C]. Barcelona, Spain, 2009.
[28]	KIM H , SHIN K G . Understanding Wi-Fi 2.0: from the economical perspective of wireless service providers dynamic spectrum manage-ment[J]. IEEE Wireless Communications, 2010,17(4): 41-46.
[29]	KIM H , SHIN K G . Admission and eviction control of cognitive radio users at Wi-Fi 2.0 hotspots[J]. Journal on Communications, 2012,11(11): 1666-1677.
[30]	YANG C , XU C , SHENG M , Cognitive Wi-Fi 2.0 networks: future intelligent WLAN[J]. Journal on Communications, 2012,32(2): 71-80.
[31]	SHAKIR M Z , QARAQE K A , TABASSUM H , et al. Green het-erogeneous small-cell networks: towards reducing the co2 emissions of mobile communications industry using uplink power adaptation[J]. IEEE CM, 2013,51(6): 52-61.
[32]	KISHIYAMA Y , BENJEBBOUR A , NAKAMURA T , et al. Future steps of LTE-A: evolution towards integration of local area and wide area systems[J]. IEEE Wireless Communications, 2013,20(1): 12-18.
[33]	Juniper, WiFi and femtocell integration strategies 2011-2015[EB/OL]. . 2011.
[34]	Qualcomm, a comparison of LTE advanced HetNets and WiFi[EB/OL]. , Sept. 2011.
[35]	LEE K , . Mobile data offloading: how much can WiFi deliver?[A]. Proc ACM CoNEXT[C]. 2010,21(2): 563-550.
[36]	GHOSH A , MANGALVEDHE N , RATASUK R , et al. Heterogene-ous cellular networks: from theory to practice[J]. IEEE Communica-tions Magazine, 2012,50(6): 54-64.
[37]	HADDAD M , ELAYOUBI S E , ALTMAN E , et al. A hybrid ap-proach for radio resource management in heterogeneous cognitive networks[J]. IEEE JSAC, 2011,29(4): 831-842.
[38]	YANG C , LI J . Joint resource management framework under IEEE P1900.4: a network utility maximization approach[A]. MobiCom[C]. Beijing, China, 2009.1-2.
[39]	YANG C , LI J . Dynamic resource management mechanism design for heterogeneous networks under IEEE1900.4 framework[A]. A Network Utility Maximization Perspective, 2010 IEEE International WCNIS[C]. 2010.
[40]	LIEN S Y , LIN Y Y , CHEN K C . Cognitive and game-theoretical radio resource management for autonomous femtocells with QoS guarantees[J]. IEEE Trans Wirel Commun, 2011,10(7): 2196-2206.
[41]	SAATSAKIS A , TSAGKARIS K , VON-HUGO D . Cognitive radio resource management for improving the efficiency of LTE network segments in the wireless B3G world[A]. IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks, Chicago, IL, 2008.1-5.
[42]	VIZZIELLO A , AKYILDIZ I F , AGUSTI R , et al. Cognitive radio resource management exploiting heterogeneous primary users[A]. Proceedings of GLOBECOM 2011[C]. Houston, TX, USA, 2011.1-5.
[43]	CAI T , KOUDOURIDIS G P , JOHANSSON J. An implementation of cognitive resource management on LTE platform[A]. PIMRC[C]. 2010.2663-2668.
[44]	LOPEZ-PEREZ D , GUVENC I , DE LA ROCHE G , Enhanced inter-cell interference coordination challenges in heterogeneous networks[J]. IEEE Wireless Comm, 2011,18(3):22-30.
[45]	ATTAR A , KRISHNAMURTHY V , GHAREHSHIRAN O N . Interference management using cognitive base-stations for UMTS LTE[J]. IEEE Communications Magazine, 2011,49(8):152-159.
[46]	XIE R , YU R , JI H , et al. Energy-efficient resource allocation for heterogeneous cognitive radio networks with femtocells[J]. IEEE Transactions on Wireless Communications, 2012,11(11):3910-3920.
[47]	LI Y , SOUSA E S . Cognitive interference management in 4G autonomous femtocells[A]. PIMRC[C]. 2010.1567-1571.
[48]	VIERING I , DOTTLING M , LOBINGER A . On exploiting cognitive radio to mitigate interference in macro/femto heterogeneous net-works[J]. IEEE Trans Wirel Commun, 2011,10(8):2196-2206.
[49]	FRIAS Z , PéREZ J . Techno-economic analysis of femtocell deploy-ment in long-term evolution network[EB/OL]. .
[50]	DUAN L , HUANG J , SHOU B . Economics of femtocell service pro-vision[J]. IEEE Trans Mobile Compu, 2013,12(11):2261-2273.
[51]	AHOKANGAS P , MATINMIKKO M , YRJOLA S , et al. Simple rules for mobile networks operator' strategic choice in future cognitive spectrum sharing networks[J]. IEEE Wireless communication, 2013,20(2):20-26.
[52]	KHAN M A , TEMBINE H , VASILAKOS A V . Game dynamics and cost of learning in heterogeneous networks[J]. IEEE Journal on Se-lected Areas in Communications, 2012,30(1):198-213.