Minimizing the cost of two-tier cellular network with queuing handoff calls in microcell using genetic algorithm

Abstract

Call dropping probability is less desirable rather than call blocking probability for modeling of two tier cellular network design. To reduce call dropping probability queuing for handoff calls in microcell may be the one solution. Determining number of cells in each tier without compromising the quality can realize the network design as an optimization problem. In this paper, we have considered cost optimization problem of a two tier cellular network design. In this problem M/M/c/k queuing model is used in microcell for hadling the handoff calls. A two dimensional Markov chain model has been developed to determine the steady state probabilities of number of calls served by macrocells and microcells. This optimization problem has been solved by using genetic algorithm. The results of the proposed solution are compared with the results of Simulated Annealing based algorithm using guard channel CAC without queuing.

A new strategy for mobility prediction in the PCS network

“…Finally, it calculates N C which is the maximum probability of MT i to visit the predicted cell C k . For illustration, figure (6) shows the famous places in each cell in a certain RA. For more illustration, weighted cells are linked by road as shown in figure (7).…”

“…Otherwise, the call will be dropped because of the weakness of the current base station's link as the mobile regress. Actually, this ability for transference in the mobile cellular system design is called handoff [6]. The originality of this paper is concentrated on introducing the MMP strategy.…”