Base station selection algorithms in microcellular mobile radio networks

M. Nofal, M. An, R. Steele
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引用次数: 1

Abstract

Base station (BS) selection algorithms that dynamically adapt to teletraffic variations in the microcellular environment are introduced. Though overlapping areas usually exist between BS coverage, we redirect teletraffic away from heavily loaded cells. We present three algorithms. The first is the directed retry with handover priority algorithm that recognises blocking of a call and searches for alternative BSs. The second is the BS load equalization algorithm that directs new calls initiated in the overlapping area to be made to the BS with most available channels. The third is the rearrangement upon blocking algorithm that clears a connection from the current saturated BS in order to allow the mobile station in trouble to be served. The performance of these algorithms is evaluated using event driven computer simulations in addition to an analytical queueing model. It is found that in situations where radio coverage of adjacent cells is overlapped, the proposed algorithms yield higher system capacity.
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微蜂窝移动无线网络中的基站选择算法
介绍了在微蜂窝环境下动态适应远程通信变化的基站选择算法。虽然在BS覆盖范围之间通常存在重叠区域,但我们将远程通信从负载沉重的小区重定向。我们提出了三种算法。第一种是带有切换优先级算法的定向重试,该算法识别呼叫阻塞并搜索替代BSs。第二种是BS负载均衡算法,该算法将在重叠区域发起的新呼叫定向到具有大多数可用信道的BS。第三种是阻塞后的重排算法,从当前饱和的BS中清除连接,以允许有问题的移动站得到服务。除了分析排队模型外,还使用事件驱动计算机模拟来评估这些算法的性能。研究发现,在相邻小区无线电覆盖重叠的情况下,所提出的算法产生更高的系统容量。
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