Wireless Crash Course
Principles and Applications of GSM
Principles and Applications of GSM
Mobile Cellular Telecommunications: Analog and Digital Systems
Mobile Cellular Telecommunications: Analog and Digital Systems
MASCOTS '05 Proceedings of the 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
Improved Genetic Algorithm for Channel Allocation with Channel Borrowing in Mobile Computing
IEEE Transactions on Mobile Computing
Optimal channel allocation algorithm with efficient channel reservation for cellular networks
International Journal of Communication Networks and Distributed Systems
Channel assignment schemes for cellular mobile telecommunication systems: A comprehensive survey
IEEE Communications Surveys & Tutorials
Handover and channel assignment in mobile cellular networks
IEEE Communications Magazine
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We are witnessing these days a rapid growth of mobile users. Therefore, frequency spectrum must be efficiently utilized, as available frequency spectrum is limited. This paper proposes a channel allocation scheme with efficient bandwidth reservation which initially reserves some channels for handoff calls, and later reserves the channels dynamically, based on the user mobility. QoS can be improved further if the channel reservation is made based on the location of the user. We devise here a new algorithm that deals with multiple traffic systems by modifying existing DDCA algorithm [1]. This algorithm reserves more channels for hot cells, few channels for cold cells and reserves channels on an average for the medium cells. Furthermore, we maintain queues for all types of calls. We compute the QoS parameters in terms of the blocking probability of originating calls and the dropping probability of handoff calls. The results indicate that the proposed channel allocation scheme exhibits better performance by considering the above mentioned user mobility, type of cells, and maintaining of the queues for various traffic sources. In addition, it can be observed that the dropping probability can be reduced by using reservation factor dynamically using our approach.