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首页> 外文期刊>Antennas and Propagation, IEEE Transactions on >A Novel Transmitter Placement Scheme Based on Hierarchical Simplex Search for Indoor Wireless Coverage Optimization
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A Novel Transmitter Placement Scheme Based on Hierarchical Simplex Search for Indoor Wireless Coverage Optimization

机译：基于分层单纯形搜索的室内无线覆盖优化新型发射机布局方案

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摘要

A novel transmitter placement scheme is developed to aid indoor wireless coverage system design. The objectives are first to find the least number of transmitters to achieve the desired coverage ratio and then to optimize their locations to maximize the average received power. The proposed scheme includes two stages. The first stage uses an iterative heuristic search (IHS) method to achieve the first objective; while the second stage applies a modified simplex search method to achieve the second objective without compromising the first one. In IHS, we propose an adaptive number adjustment algorithm (ANA) to speed up the search process, which adjusts the number of transmitters with variable step-sizes. A hierarchical simplex search (HSS) algorithm is proposed for transmitter location optimization, which can produce near-optimal transmitter placement. The experimental results show our method outperforms existing peer ones, including the exhaustive enumeration test, manual placement and the genetic algorithm. The exhaustive enumeration test and the manual placement can achieve the desired coverage ratio, but ours uses fewer transmitters, achieves higher average received power and incurs less computation costs. Compared with the genetic algorithm, our placement can achieve higher coverage ratio and higher average received power with the same number of transmitters.
机译：开发了一种新颖的发射机布置方案，以辅助室内无线覆盖系统设计。目标是首先找到最少数量的发射机，以实现所需的覆盖率，然后优化其位置，以使平均接收功率最大化。拟议的方案包括两个阶段。第一阶段使用迭代启发式搜索（IHS）方法来实现第一个目标；第二阶段则采用改进的单纯形搜索方法来实现第二个目标，而又不损害第一个目标。在IHS中，我们提出了一种自适应数字调整算法（ANA）来加快搜索过程，从而以可变步长调整发射机的数量。提出了一种用于发射机位置优化的分层单纯形搜索（HSS）算法，该算法可以产生接近最优的发射机位置。实验结果表明，该方法优于详尽的枚举测试，人工放置和遗传算法。详尽的枚举测试和手动放置可以达到所需的覆盖率，但我们的发射器使用较少，实现了更高的平均接收功率，并减少了计算成本。与遗传算法相比，我们的布局可以在相同数量的发射机的情况下实现更高的覆盖率和更高的平均接收功率。

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