Due to the fast-growing number of cell-phone users, channel allocation scheme forchannel assignment plays an important role in cellular networks. Having known that fordownlink transmission the base-station aims to transmit signals over a specifi c channel todifferent users, broadcasting enhancement gains momentum in cellular networks. Considera set-up in which the base-station is equipped with M time/frequency resources and Mclients are being served with their own rate requirements. Optimum solution in a degradedbroadcast channel is to send signals to all users over all channels. However, this enlarges thecodebook, which leads to an intricate coding/decoding system. Taking this into account,the idea of grouping the clients into smaller subsets has been proposed in this research.The required rate for each client should be satisfied in each subset, which determines thesize of the groups. As the highest gain in each subset is obtained by applying broadcastingscenario, one can just focus onfinding the best method of grouping; henceforth, each groupfollows broadcasting scenario.Similarly, the same scenario applies to uplink transmission in which clients transmitsignals to a single base station.Intuitively, the optimum solution can be achieved using linear programming. However,it turned out linear programming satisfi es the zero-one constraint which can be efficientlysolved by Hungarian method. It has been shown that this practical method conspicuouslyoutperforms the traditional frequency division method.
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New Methods for Channel Allocation Schemes in wireless Cellular Networks
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