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A New Ant Colony Optimization Algorithm Applied to Optimizing Centralized Wireless Access Network

机译:一种新的蚁群优化算法在集中无线接入网优化中的应用

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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.
机译:将无线接入网设计问题表述为约束优化问题,其中的目标是找到一个网络拓扑,以便在受到一组约束的情况下优化目标功能。目标函数可以是总成本,也可以是某些性能指标,例如利用率,呼叫阻塞或吞吐量。约束条件可能是对链路容量,成本要素或某些网络性能指标的限制。但是,优化问题太复杂了。在本文中,我们提出了一种新颖的蚁群优化(ACO)算法,以找到将BS连接到MSC,并将MSC连接到由最佳集中式无线接入网调用的LE的总成本。数值结果表明,我们提出的算法的性能比以前的研究好得多。

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