A heuristic channel allocation model with multi lending in mobile computing network

Abstract

Radio channel allocation is broadly studied in the framework of cellular networks. Channels are scarce resources and to be utilised judiciously by the cells of the network. During the course of channel allocation, channels are normally lent/borrowed to the neighbour cells. Most of the available channel allocation techniques apply only single lending/borrowing. With the emergence of cognitive radio, it has now become possible to utilise the channels opportunistically. Availing the channels are the services which are normally categorised into real-time and non-real-time services. Of these, real-time services are given more priority to serve over the non-real-time services. Further, among the new call and handoff services, the latter are given priority to serve. This work proposes a novel heuristic approach for better channel utilisation for these services, blending the idea of cognitive radio and multi-channel lending/borrowing. The performance study, of the proposed model, is done by simulation which reveals the effective channel utilisation in terms of blocked and dropped services.