A Fuzzy Logic based Dynamic Channel allocation Scheme for wireless Cellular networks to optimize the frequency reuse

Due to the technological advancements in high quality voice and high speed data communication, the popularity of Cellular communication is increasing exponentially. With this increasing popularity, the number of mobile users under cellular communication is growing rapidly. But, in reality the radio frequency spectrum is very much limited. It is a hard job to allocate the limited spectrum among the multiple users. So, efficient channel allocation of radio spectrum has become a hottest research topic among the researchers. There are many channel allocation schemes based on FDMA, TDMA and CDMA technology proposed in the literature proving their efficiency. In this paper, a Fuzzy-Logic based Dynamic Channel Assignment Scheme (F-DCAS) is proposed to maximize the number of served calls in a distributed wireless cellular environment. The F-DCAS provides better fault-tolerant capability for variable traffic load thus yielding better performance compared to traditional FCA and DCA scheme. Simulation result proofs that call blocking probability, call dropping probability, handoff strategies, throughput and average channel utilization in proposed algorithm is better than the traditional FCA and DCA scheme.