Cost-Optimal Deployment of Millimeter-Wave Base Stations Under Outage Requirement
Cost-Optimal Deployment of Millimeter-Wave Base Stations Under Outage Requirement
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DOI：
10.1109/twc.2022.3185094
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发表时间：
2022
影响因子：
10.4
通讯作者：
Miaomiao Dong;Minsung Cho;Kangeun Lee;Sungrok Yoon;Taejoon Kim
中科院分区：
文献类型：
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作者：
Miaomiao Dong;Minsung Cho;Kangeun Lee;Sungrok Yoon;Taejoon Kim
当今无线设备数量的增长，加上对数据密集型用例的需求，推动了毫米波（mmWave）小型蜂窝网络的部署。虽然毫米波网络确实可以承载大量流量，但高度间歇性的连接以及在城市几何结构中安装许多小蜂窝基站（BSs）的挑战阻碍了其向实用网络的发展。为了应对这些挑战，我们在本文中提出了一种基于受用户设备（UE）中断约束的最小部署成本标准的毫米波BS部署（站点规划）问题的方法。与先前的工作不同，该模型捕获了毫米波网络中链路阻塞和信号-干扰-加噪声比（SINR）统计的随机性。我们将最小代价部署问题表述为大规模整数非线性规划（INP）。为了处理耦合和组合问题，大规模INP通过将其分解为两个子问题(i)小区覆盖优化和（ii）最小子集选择来设计一种次优但高效的算法。我们提供了每个子问题的解决方案以及它们的理论证明。仿真结果说明了所提BS部署方法的UE中断保证。结果表明，该方法能够唯一地分配不同于其他基准的宏观分集顺序。
Today’s growth in the volume of wireless devices coupled with the demand for data-intensive use cases has motivated the deployment of millimeter-wave (mmWave) small-cell networks. Although it is true that mmWave networks can carry a large volume of traffic, highly intermittent connectivity and the challenges related to installing many small-cell base stations (BSs) in urban geometry have impeded its progression into practical networks. To cope with these challenges, we present, in this paper, an approach to the mmWave BS deployment (site planning) problem, based on the minimum-deployment-cost criterion that is subject to user equipment (UE) outage constraints. Unlike the prior works, the proposed model captures the randomness of link blockage and signal-to-interference-plus-noise-ratio (SINR) statistics in mmWave networks. We formulate the minimum-cost deployment problem as large-scale integer nonlinear programming (INP). To deal with the coupled and combinatorial of the problem, the large-scale INP has approached to devise a suboptimal but efficient algorithm by decomposing it into two subproblems: (i) cell coverage optimization and (ii) minimum subset selection. We provide the solutions to each subproblem as well as theoretical justifications of them. Simulation results that illustrate UE outage guarantees of the proposed BS deployment method are presented. The results reveal that the proposed method uniquely distributes the macro-diversity orders that are distinct from other benchmarks.