An Efficient Model for Reducing Soft Blocking Probability in Wireless Cellular Networks

One of the research challenges in cellular networks is the design of an efficient model that can reduce call blocking probability and improve the quality of service (QoS) provided to mobile users. Blocking occurs when a new call cannot be admitted into the network due to channel unavailability caused by limited capacity or when an ongoing call cannot be continued as it moves from one base station to another due to mobility of the user. The proposed model computes the steady state probability and resource occupancy distribution, traffic distribution, intra-cell and inter-cell interferences from mobile users. Previously, the proposed models are reviewed through which the present model is built for use in emerging wireless networks so as to obtain improved QoS performance. The developed model is validated through simulations in MATLAB and its equations implemented using Java Programming Language. The results obtained indicate reduced call blocking probability below threshold.