GENETIC ALGORITHM-BASED DYNAMIC CHANNEL ALLOCATION TO MINIMIZE THE INTER-CELL INTERFERENCE IN DOWNLINK WIRELESS COMMUNICATION SYSTEMS

초록

This paper deals with an efficient dynamic channel allocation (DCA) playing the role of dynamic inter-cell interference coordination (ICIC) in wireless communication system using orthogonal frequency division multiple access (OFDMA) with a frequency reuse of 1 In such a system, the system performance is limited by inter cell interference (ICI) The goal of OUT paper is to maximize throughput and minimize outage at the same time by seeking optimal channel allocation for a new call with the aim of minimizing interference to an existing call due to channel allocation for a new call To achieve the goal, the DCA scheme has to find the best combination from all calls, channels and cells when new call requests channel allocation However, it needs exponential search spaces and becomes a NP-hard problem Thus, we use one of the heuristic algorithms, genetic algorithm (GA), and conclusively propose the GA based DCA scheme Simulations results show that the proposed GA based DCA scheme outperforms the existing schemes in terms of throughput and outage probability not only in the entire cell but also at the cell edge

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