Optimization of channel assignment in mobile communication using Tabu Search

Ramli, Muhd Aliff Dani (2018) Optimization of channel assignment in mobile communication using Tabu Search. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Communication is one of the integral parts of science that has been a focus point for exchanging information among parties at locations physically apart. Mobile communication is a wireless form of communication in which voice and data information is emitted, transmitted and received via microwaves. It allows individuals to converse with one another and transmit and receive data while moving from place to place. With the increase in mobile user rates in the present, existing channels are quite limited and can lead to channel assignment problem (CAP). Therefore, to reduce the channel assignment problem an attempt or action must be taken by reusing existing channels to minimize interference in channel assignments. Reduced interference leads to an increase in capacity and throughout of the system. Tabu Search is one of the techniques that can be used to resolve channel assignment problem. Tabu Search is a meta-heuristic that guides a local heuristics search procedure to explore the solution space beyond local optimality. Optimization process is implemented by first to determine the initial solution then the initial solution is used to generate the solution of the neighborhood. The channel allocated being analyzed the value of the penalty cost based on the penalty cost function. The process will be repeated until obtain the lowest penalty cost function and chosen as the final solution. An analytical analysis is carried out to investigate the effect of number of iterations and number of available channels on cost value. The results will compare by varying the demand required in the channel assignment with different number of channels used and some improvement will be implemented in. As the result shows that the number of channel would have an effect in reducing cost values and with the new improved coding number of iterations can be reduced in getting the cost values

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