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Survey on Soft Computing based Call Admission Control in Wireless Networks

Call Admission Control (CAC) is a challenging problem in wireless networks, the objective of which is to guarantee agreed upon Quality of Service (QoS) to the users. CAC directly controls the number of users in the system and as the number of channels in the system is limited, CAC must be carefully designed. Soft Computing (SC) techniques like Fuzzy Logic (FL), Neural Networks (NN) and Genetic Algorithms (GA) are used to get optimized results in CAC. Choosing the apt SC technique from these three techniques is often challenging task. In this regard an effort is made to present a survey on these three SC techniques.