Adaptive Resource Management Platform for Reconfigurable Networks

Users’ expectations towards technology, in terms of quality, service availability and accessibility are ever increasing. Aligned with this, the wireless world is rapidly moving towards the next generation of systems, featuring cooperating and reconfiguring capabilities for coexisting (and upcoming) Radio Access Technologies (RATs), so that to improve connectivity and reduce costs. In this respect, conventional planning and management techniques ought to be replaced by advanced schemes that consider multidimensional characteristics, increased complexity and high speeds. To this effect, means are needed capable to support scalability and to cater for advanced service features, provided to users at high rates and cost-effectively. This article provides a scheme to optimize resource management in future systems, by describing a platform that accommodates engineering mechanisms that deal with dynamic, demand driven planning and managing of spectrum and radio resources in reconfigurable networks. To do so, it first discusses the fundamentals and the approach followed in the proposed architecture and then investigates the basic functional modules. The architecture is validated through a set of use-cases that exemplify the operational applicability and efficiency in a wide range of communication scenarios.

[1]  V. Stavroulaki,et al.  System for enhanced network management jointly exploiting WLANs and other wireless network infrastructures , 2004 .

[2]  MitolaJ..  Software radio architecture , 1999 .

[3]  Michael E. Theologou,et al.  Wireless Beyond 3G: Managing Services and Network Resources , 2002, Computer.

[4]  Joseph Mitola,et al.  The software radio architecture , 1995, IEEE Commun. Mag..

[5]  Jennifer Widom,et al.  Teletraffic modeling for personal communications services , 1997 .

[6]  J.-C. Dunat,et al.  Efficient OFDMA distributed optimization algorithm exploiting multi-user diversity , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[7]  F. Jondral,et al.  Dynamic and local combined pricing, allocation and billing system with cognitive radios , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[8]  G. Dimitrakopoulos,et al.  Dynamic planning and management of reconfigurable systems , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[9]  L. Correia,et al.  Spatial and temporal traffic distribution models for GSM , 1999, Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324).

[10]  K. Moessner,et al.  Techno - economic of collaborative based secondary spectrum usage - E/sup 2/R research project outcomes overview , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[11]  K Moessner,et al.  Radio resource management and network planning in a reconfigurability context , 2022 .

[12]  Athanasios V. Vasilakos,et al.  Service configuration and traffic distribution in composite radio environments , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[13]  Ouri Wolfson,et al.  Mobile Networks and Applications , 2002 .

[14]  Zhu Han,et al.  Fair multiuser channel allocation for OFDMA networks using Nash bargaining solutions and coalitions , 2005, IEEE Transactions on Communications.

[15]  D. Grandblaise,et al.  Multi-level spectrum auction through radio access , 2006, MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference.

[16]  Oriol Sallent,et al.  Dynamic Planning and Management of Reconfigurable Networks , .

[17]  Oriol Sallent,et al.  A Framework for JRRM with Resource Reservation and Multiservice Provisioning in Heterogeneous Networks , 2006, Mob. Networks Appl..

[18]  Vera Stavroulaki,et al.  ISSUES IN THE INTRODUCTION OF RECONFIGURABILITY IN WIRELESS B3G ENVIRONMENTS , 2004 .

[19]  L. Bos,et al.  Toward an all-IP-based UMTS system architecture , 2001, IEEE Netw..

[20]  Rahim Tafazolli,et al.  Auction driven dynamic spectrum allocation: optimal bidding, pricing and service priorities for multi-rate, multi-class CDMA , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[21]  Michael E. Theologou,et al.  Evolution in wireless systems management concepts: from composite radio environments to reconfigurability , 2004, IEEE Communications Magazine.

[22]  Abbas Jamalipour,et al.  A tutorial on multiple access technologies for beyond 3G mobile networks , 2005, IEEE Communications Magazine.

[23]  Vera Stavroulaki,et al.  Issues in introducing resource brokerage functionality in B3G composite radio environments , 2004, IEEE Wireless Communications.

[24]  Narayan B. Mandayam,et al.  Joint network-centric and user-centric radio resource management in a multicell system , 2005, IEEE Transactions on Communications.