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Planning UMTS base station location: optimization models with power control and algorithms

机译：规划UMTS基站位置：具有功率控制和算法的优化模型

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摘要

Classical coverage models, adopted for second-generation cellular systems, are not suited for planning Universal Mobile Telecommunication System (UMTS) base station (BS) location because they are only based on signal predictions and do not consider the traffic distribution, the signal quality requirements, and the power control (PC) mechanism. We propose discrete optimization models and algorithms aimed at supporting the decisions in the process of planning where to locate new BSs. These models consider the signal-to-interference ratio as quality measure and capture at different levels of detail the signal quality requirements and the specific PC mechanism of the wideband CDMA air interface. Given that these UMTS BS location models are nonpolynomial (NP)-hard, we propose two randomized greedy procedures and a tabu search algorithm for the uplink (mobile to BS) direction which is the most stringent one from the traffic point of view in the presence of balanced connections such as voice calls. The different models, which take into account installation costs, signal quality and traffic coverage, and the corresponding algorithms, are compared on families of small to large-size instances generated by using classical propagation models.
机译：第二代蜂窝系统采用的经典覆盖模型不适用于规划通用移动电信系统（UMTS）基站（BS）的位置，因为它们仅基于信号预测并且不考虑业务量分布，信号质量要求，以及电源控制（PC）机制。我们提出离散的优化模型和算法，旨在支持规划在哪里放置新BS的决策。这些模型将信号干扰比视为质量度量，并在不同细节级别捕获信号质量要求以及宽带CDMA空口的特定PC机制。鉴于这些UMTS BS定位模型是非多项式（NP）困难的，因此我们针对上行链路（移动到BS）方向提出了两个随机贪婪过程和禁忌搜索算法，这是从存在流量的角度来看最严格的一种语音通话等平衡连接。考虑了安装成本，信号质量和流量覆盖范围以及相应算法的不同模型，在使用经典传播模型生成的小型到大型实例系列中进行了比较。

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