A new localized channel sharing scheme for cellular networks
Wireless Networks
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The crux of the problem is the interference in Broadband fixed wireless networks. The number of wireless channels is usually limited and the channels are reused. Reusing channels causes co-channel and adjacent channel interference, which will degrade the Signal to Noise Ratio of received packets and the throughput of a Broadband fixed wireless network. Recently, stochastic and machine learning models were used to reduce or eliminate the interference between the channels. Recent research [1-7] encourages that genetic algorithms can be used in channel allocation and interference avoidance. In this research, we used a simple genetic algorithm for selection of the best channel among the free and available channels at a given access point.