A New Ant Colony Optimization Algorithm Applied to Optimizing Centralized Wireless Access Network
Автор: Dac-Nhuong Le
Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs
Статья в выпуске: 4 Vol. 6, 2014 года.
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The wireless access networks design problem is formulated as a constrained optimization problem, where the goal is to find a network topology such that an objective function is optimized, subject to a set of constraints. The objective function may be the total cost, or some performance measure like utilization, call blocking or throughput. The constraints may be bounds on link capacities, cost elements, or some network performance measure. However, the optimization problem is too complex. In this paper, we propose a novel Ant Colony Optimization (ACO) algorithm to finding the total cost of connecting the BSs to the MSCs, and connecting the MSCs to the LE called by the optimal centralized wireless access network. Numerical results show that performance of our proposed algorithm is much better than previous studies.
Wireless Access Network, Base Station, Mobile Switching Center, Ant Colony Optimization
Короткий адрес: https://sciup.org/15012067
IDR: 15012067
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