Survey of soft computing techniques for joint radio resource management

Ever changing requirements of the mobile devices has posed significant challenges on existing cellular network systems. The Next Generation Wireless Networks (NGWN) will be heterogeneous which will have different Radio Access Technologies (RATs) operating together. Radio Resource Management (RRM) is one of the key challenges in NGWN. Joint Radio Resource Management (JRRM) is one of the RRM technique plays instrumental role in ensuring the desired Quality of Service (QoS) to the users working on different applications which are having the diversified nature of QoS requirements to be fulfilled by the wireless networks. Soft computing is one promising field which is strongly believed to enhance the capability of the existing methods for JRRM. The objective of this paper is to bring out the best features of soft computing techniques for JRRM in NGWN to enhance capability of existing methods, which integrates the different RRM strategies using soft computing techniques for NGWN and observe how JRRM would properly work together with soft computing techniques in heterogeneous scenario to perform better than the existing techniques.

[1]  H. S. Ramesh Babu,et al.  An Intelligent Call Admission Control Decision Mechanism for Wireless Networks , 2010, ArXiv.

[2]  Chunming Liu.  System design and resource management in the next-generation integrated WLAN and third-generation cellular networks , 2006 .

[3]  H. Anthony Chan,et al.  Stochastic model of a user-centric joint call admission control scheme for heterogeneous wireless networks , 2008, 2008 5th International Conference on Broadband Communications, Networks and Systems.

[4]  Xu Yubin,et al.  A Novel JRRM Approach Working Together with DSA in the Heterogeneous Networks , 2009, 2009 International Forum on Information Technology and Applications.

[5]  C. M. Tan,et al.  Future trends in radio resource management for wireless communications , 2006 .

[6]  Yanhui Lu,et al.  Modeling radio resource management in cognitive radio system based on OFDMA using colored Petri Net , 2010 .

[7]  Masoud Nikravesh,et al.  Soft computing and intelligent data analysis in oil exploration , 2003 .

[8]  Hung-Yu Wei,et al.  Channel-aware soft bandwidth guarantee scheduling for wireless packet access , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).

[9]  Siavash Khorsandi,et al.  Cooperative joint radio resource management in wireless heterogeneous networks , 2011, 2011 International Symposium on Computer Networks and Distributed Systems (CNDS).

[10]  H. S. Ramesh Babu,et al.  Call Admission Control for Next Generation Wireless Networks Using Higher Order Markov Model , 2010, Comput. Inf. Sci..

[11]  Feng Han,et al.  A Cross-layer Resource Allocation Scheme with Guaranteed QoS in Multiuser OFDM Systems , 2006, 2006 International Conference on Communication Technology.

[12]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[13]  Yuguang Fang,et al.  Call admission control schemes and performance analysis in wireless mobile networks , 2002, IEEE Trans. Veh. Technol..

[14]  Joseph Mitola,et al.  Cognitive radio architecture evolution: annals of telecommunications , 2009, Ann. des Télécommunications.

[15]  E. Falowo Olabisi.  Joint call admission control algorithm for reducing call blocking/dropping probability in heterogeneous wireless networks supporting multihoming , 2010, 2010 IEEE Globecom Workshops.

[16]  H.A. Chan,et al.  Fuzzy Logic Based Call Admission Control for Next Generation Wireless Networks , 2006, 2006 3rd International Symposium on Wireless Communication Systems.

[17]  G. Min,et al.  A QOS-BASED BANDWIDTH MANAGEMENT SCHEME IN HETEROGENEOUS WIRELESS NETWORKS , 2004 .

[18]  H. Anthony Chan,et al.  Issues in Designing Joint Radio Resource Management for Heterogeneous Wireless Networks , 2011, 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing.

[19]  Andreas Pillekeit.  Influence of information aging in self organizing joint radio resource management systems , 2010, 2010 7th International Symposium on Wireless Communication Systems.

[20]  Luis M. Correia,et al.  Radio access to heterogeneous wireless networks through JRRM strategies , 2010, 2010 Future Network & Mobile Summit.

[21]  Hans D. Schotten,et al.  A novel approach for combined Joint Call Admission Control and Dynamic Bandwidth Adaptation in heterogeneous wireless networks , 2011, 2011 7th EURO-NGI Conference on Next Generation Internet Networks.

[22]  M Carmen Lucas-Estañ,et al.  Real-time computational performance of advanced JRRM policies in B3G heterogeneous wireless systems , 2010, 2010 European Wireless Conference (EW).

[23]  M. Carmen Lucas-Estan,et al.  On the Real-Time Hardware Implementation Feasibility of Joint Radio Resource Management Policies for Heterogeneous Wireless Networks , 2013, IEEE Transactions on Mobile Computing.

[24]  Niki Pissinou,et al.  Resource Management in the Next-Generation Integrated WLAN / 3G Cellular Networks , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[25]  Mohamed Hossam Ahmed,et al.  Call admission control in wireless networks: a comprehensive survey , 2005, IEEE Communications Surveys & Tutorials.

[26]  Oriol Sallent,et al.  Common radio resource management: functional models and implementation requirements , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[27]  Sneha Kumar Kasera,et al.  Congestion control policies for IP-based CDMA radio access networks , 2005, IEEE Transactions on Mobile Computing.

[28]  Liljana Gavrilovska,et al.  Spectrum Sensing Framework for Cognitive Radio Networks , 2011, Wirel. Pers. Commun..

[29]  H. S. Ramesh Babu,et al.  Call Admission Control performance model for Beyond 3G Wireless Networks , 2010, ArXiv.

[30]  Xiaoying Zheng,et al.  A survey of next generation mobile communications research in China , 2011 .

[31]  H. Anthony Chan,et al.  Adaptive Bandwidth Management and Joint Call Admission Control to Enhance System Utilization and QoS in Heterogeneous Wireless Networks , 2007, EURASIP J. Wirel. Commun. Netw..

[32]  Stein Svaet,et al.  Effects of multiple access alternatives in heterogeneous wireless networks , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..