Flexible Channel Allocation for Better Traffic Management in Microcellular Mobile Communication System Using Fuzzy Logic

Various microcells have high traffic density during peak hours, the problems are further exacerbated by the traffic overloading in downtown areas at peak hours. The reliable and efficient communication demands unnoticed handoff to the user without deteriorating the signal strength. Current cellular system exhibits a varying traffic conditions depending upon the corresponding variations in population which is low in rural areas and high in downtown areas. The traffic density becomes even higher at peak hours and low at night hours. The acceptable service quality demands optimum use of frequency spectrum for obtaining maximum traffic throughput. The efficient allocation of channels on need basis can be one of the solutions for efficient traffic management during peak hours. In Flexible Channel Allocation scheme (FlCA), the available channels are divided in fixed and flexible set channels. Fixed set channels are normally assigned to all the cells and the number of channels is decided by the approximate calculated load of particular cell that typically suffices the traffic load of cell. The flexible channels are assigned to those cells whose channels are inadequate under increased traffic load conditions. These channels are assigned in accordance with demand of increased traffic loads. Fuzzy logic approach being flexible is explored for assigning these flexible channels for enhanced QoS.