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Optimizing microcell base station locations using simulated annealing techniques

机译:使用模拟退火技术优化微蜂窝基站的位置

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The problem of choosing the optimum locations for base stations in a microcell communications system is considered. The factors affecting optimum selection are the non-uniform service areas in complex propagation environments, the mutual coverage and interference of multiple base stations, and the service objective which is usually defined by signal level but may also be defined by delay spread for certain digital systems. This optimization problem is addressed using simulated annealing (SA) techniques which offer a method to achieve near optimum solutions to complex combinatorial optimization problems, This research shows that SA is a viable approach for handling practical base station siting problems in an urban microcell environment.
机译:考虑了在微小区通信系统中选择基站的最佳位置的问题。影响最佳选择的因素是复杂传播环境中的非均匀服务区域,多个基站的相互​​覆盖和干扰,以及通常由信号电平定义但也可以通过对某些数字系统的延迟扩展来定义的服务目标。使用模拟退火(SA)技术来解决该优化问题,该技术提供了实现复杂组合优化问题的近最佳解决方案的方法,该研究表明,SA是处理城市微电池环境中实用基站选址问题的可行方法。

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