Channel Allocation to Multiservice Wireless Networks: A Collocation—Based Approach to Enhance Spectrum Utilization

A channel allocation (CA) scheme is proposed for wireless networks serving multiple services. The CA scheme is based on collocating the base stations of the wireless networks and restricting their coverage over common cells. The increased coverage granularity makes feasible a more efficient frequency reuse. A genetic algorithm approach is adopted to minimize the number of channels required by the multiservice networks, taking into account the intranetwork and intraservice constraints over a specific coverage area. To validate the proposed scheme and investigate its performance, the Philadelphia benchmark network is employed. Simulation results corresponding to a mix of digital TV and mobile services of various profiles demonstrate the capability of the proposed scheme to optimally allocate channels to multiservice wireless networks.

[1]  Zhongding Lei,et al.  IEEE 802.22: The first cognitive radio wireless regional area network standard , 2009, IEEE Communications Magazine.

[2]  Ken-ichi Tokoro,et al.  Improving the performance of a Genetic Algorithm for minimum span frequency assignment problem with an adaptive mutation rate and a new initialization method , 2001 .

[3]  L. G. Anderson.  A Simulation Study of Some Dynamic Channel Assignment Algorithms in a High Capacity Mobile Telecommunications System , 1973, IEEE Trans. Commun..

[4]  Josep Paradells Aspas,et al.  Implementation of a Distributed Dynamic Channel Assignment Mechanism for IEEE 802.11 Networks , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[5]  A. V. Kulkarni,et al.  Solving channel allocation problem in cellular radio networks using genetic algorithm , 2008, 2008 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE '08).

[6]  Iana Siomina,et al.  Integrated Access Point Placement and Channel Assignment for Wireless LANs in an Indoor Office Environment , 2007, 2007 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks.

[7]  Ulrich Killat,et al.  A new strategy for the application of genetic algorithms to the channel-assignment problem , 1999 .

[8]  Derek H. Smith,et al.  A Permutation Based Genetic Algorithm for Minimum Span Frequency Assignment , 1998, PPSN.

[9]  Yenumula B. Reddy,et al.  Computationally Efficient Resource Allocation in OFDM Systems: Genetic Algorithm Approach , 2007, Fourth International Conference on Information Technology (ITNG'07).

[10]  W. K. Hale.  Frequency assignment: Theory and applications , 1980, Proceedings of the IEEE.