Maximizing Line-of-Sight Coverage for mmWave Wireless LANs With Multiple Access Points

Maximizing Line-of-Sight Coverage for mmWave Wireless LANs With Multiple Access Points
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DOI:
10.1109/tnet.2021.3122378
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发表时间:
2022-04
期刊:
IEEE/ACM Transactions on Networking
影响因子:
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通讯作者:
Yuchen Liu;Yubing Jian;Raghupathy Sivakumar;D. Blough
Yuchen Liu;Yubing Jian;Raghupathy Sivakumar;D. Blough
中科院分区:
其他
文献类型:
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作者:
Yuchen Liu;Yubing Jian;Raghupathy Sivakumar;D. Blough

文献摘要

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在本文中,我们研究了多接入点(多AP)毫米波无线局域网在室内场景的最佳视线(LoS)覆盖问题。由于毫米波信号在60 GHz下的衍射能力较弱,因此保持AP和客户端设备之间的LoS通信对于利用毫米波通信实现超高数据速率至关重要。我们专注于使用多个AP部署,以最大限度地提高在目标区域的LoS覆盖范围,我们开发多AP的位置,最大限度地提高LoS覆盖的分析和算法的方法。我们考虑两个主要的情况下,这在他们的假设不同的知识的障碍和客户端。在一个随机的障碍,随机客户端的情况下,我们得到了损失的最佳位置的AP通过解决一个最薄的覆盖问题。对于一个固定的障碍,随机客户端的情况下,我们提出了一个有效的算法,产生一个多AP的位置,这是通过模拟,以提供接近最佳的LoS覆盖。最后,通过广泛的ns-3模拟IEEE 802.11ad协议和毫米波特定的信道模型的基础上,我们表明,我们的多AP放置显着优于现有的放置方法,无论是在LoS覆盖和总吞吐量。
In this paper, we investigate the optimal line-of-sight (LoS) coverage problem for multiple access point (multi-AP) mmWave wireless LANs in indoor scenarios. Due to the weak diffraction ability of mmWave signals at 60 GHz, maintaining LoS communications between APs and client devices is critical to achieve ultra-high data rates with mmWave communications. We focus on the use of multiple APs deployed to maximize LoS coverage in a target area, and we develop multi-AP placements that maximize LoS coverage by means of both analytical and algorithmic methods. We consider two main scenarios, which differ in their assumptions about knowledge of obstacles and clients. In a random-obstacle, random-client scenario, we derive the LoS-optimal positions of APs by solving a thinnest covering problem. For a fixed-obstacle, random-client scenario, we propose an efficient algorithm that produces a multi-AP placement, which is shown through simulation to provide near-optimal LoS coverage. Finally, through extensive ns-3 simulations based on the IEEE 802.11ad protocol and mmWave-specific channel models, we show that our multi-AP placements are significantly better than existing placement approaches, both in terms of LoS coverage and aggregate throughput.