Joint User-AP Association and Resource Allocation in Multi-AP 60-GHz WLAN

Joint User-AP Association and Resource Allocation in Multi-AP 60-GHz WLAN
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多 AP 60 GHz WLAN 中的联合用户-AP 关联和资源分配

DOI:
10.1109/tvt.2019.2908976
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发表时间:
2019-04
影响因子:
6.8
通讯作者:
Lou Wenjing
Lou Wenjing
中科院分区:
计算机科学2区
文献类型:
--
作者:
Qin Xiaoqi;Yuan Xu;Zhang Zhi;Tian Feng;Hou Y. Thomas;Lou Wenjing

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集成毫米波产品的进步为利用60 GHz频段的通信来满足WLAN中前所未有的流量需求提供了可能性。尽管毫米波信号具有很大的带宽,但其衰减大,衍射能力弱。因此,在60 GHz的无线通信的特征在于固有的方向性和易受阻塞。提出了一种适用于60 GHz无线局域网的多接入点(AP)结构,以提高空间复用和抗阻塞能力。在网络中存在多个AP的情况下,本文解决了用户-AP关联和资源分配的重要问题。我们研究了三种不同复杂度的方案,并研究了如何在AP分配和传输调度的共同考虑下最大化用户吞吐量。为了解决制定的问题,我们提出了一个分支和切割为基础的解决方案。我们对这三种方案进行了详细的比较分析,并主张使用一次性的基于AP分配的调度方案,由于其简单性和良好的性能。为了处理实时流量和人为阻塞,我们提出了一种在线算法来实现基于一次性AP分配的方案,以避免频繁的服务中断。我们的研究结果表明,所提出的在线算法相比,最佳的离线算法具有竞争力。
The advancement of integrated millimeter-wave products opens the possibility of leveraging communications in 60-GHz band to meet the unprecedented traffic demand in WLAN. Despite the vast bandwidth available, millimeter-wave signals suffer from high attenuation and weak diffraction ability. Therefore, wireless communication at 60 GHz is characterized by the inherent directivity and susceptibility to blockage. Multiple Access Point (AP) architecture is proposed for 60-GHz WLAN to enhance spatial reuse and survive blockage. In the presence of multiple APs in the network, this paper addresses the important problem of user-AP association and resource allocation. We study three schemes of different complexity and investigate how to maximize user throughput with joint consideration of AP assignment and transmission scheduling. To solve the formulated problem, we propose a branch-and-cut-based solution procedure. We perform a detailed comparative analysis of the three schemes and advocate to use one-shot AP assignment-based scheduling scheme due to its simplicity and good performance. To deal with real-time traffic and human blockage, we propose an online algorithm to implement the one-shot AP assignment-based scheme to avoid frequent service disruption. Our results show that the proposed online algorithm is competitive when compared with the optimal offline algorithm.
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