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首页> 外文期刊>Vehicular Technology, IEEE Transactions on >Optimization Models and Algorithms for Joint Uplink/Downlink UMTS Radio Network Planning With SIR-Based Power Control
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Optimization Models and Algorithms for Joint Uplink/Downlink UMTS Radio Network Planning With SIR-Based Power Control

机译：基于SIR的功率控制联合上行/下行UMTS无线电网络规划的优化模型和算法

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摘要

Universal mobile telecommunication system (UMTS) networks should be deployed according to cost-effective strategies that optimize a cost objective and satisfy target quality-of-service (QoS) requirements. In this paper, we propose novel algorithms for joint uplink/downlink UMTS radio planning with the objective of minimizing total power consumption in the network. Specifically, we define two components of the radio planning problem: 1) continuous-based site placement and 2) integer-based site selection. In the site-placement problem, our goal is to find the optimal locations of UMTS base stations (BSs) in a certain geographic area with a given user distribution to minimize the total power expenditure such that a satisfactory level of downlink and uplink signal-to-interference ratio (SIR) is maintained with bounded outage constraints. We model the problem as a constrained optimization problem with SIR-based uplink and downlink power control scheme. An algorithm is proposed and implemented using pattern search techniques for derivative-free optimization with augmented Lagrange multiplier estimates to support general constraints. In the site-selection problem, we aim to select the minimum set of BSs from a fixed set of candidate sites that satisfies quality and outage constraints. We develop an efficient elimination algorithm by proposing a method for classifying BSs that are critical for network coverage and QoS. Finally, the problem is reformulated to take care of location constraints whereby the placement of BSs in a subset of the deployment area is not permitted due to, e.g., private property limitations or electromagnetic radiation constraints. Experimental results and optimal tradeoff curves are presented and analyzed for various scenarios.
机译：通用移动电信系统（UMTS）网络应根据具有成本效益的策略进行部署，这些策略可优化成本目标并满足目标服务质量（QoS）要求。在本文中，我们提出了用于联合上行/下行UMTS无线电规划的新颖算法，目的是将网络中的总功耗降至最低。具体来说，我们定义了无线电规划问题的两个组成部分：1）基于连续的站点放置； 2）基于整数的站点选择。在站点布置问题中，我们的目标是找到具有给定用户分布的特定地理区域内UMTS基站（BS）的最佳位置，以最大程度地降低总功耗，从而使下行链路和上行链路的-干扰比（SIR）保持有限的中断约束。我们将该问题建模为基于SIR的上行链路和下行链路功率控制方案的约束优化问题。提出并使用模式搜索技术实现了一种算法，该算法用于无导数优化，并具有增强的Lagrange乘数估计以支持一般约束。在选址问题中，我们旨在从满足质量和中断约束条件的固定候选站点集中选择最小的BS集。通过提出一种对网络覆盖和QoS至关重要的BS分类的方法，我们开发了一种有效的消除算法。最后，该问题被重新表述以照顾位置限制，由此由于例如私有财产限制或电磁辐射限制，不允许在部署区域的子集中放置BS。给出并分析了各种情况下的实验结果和最佳折衷曲线。

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