BBN: throughput scaling in dense enterprise WLANs with Bind Beamforming and Nulling

Wenjie Zhou, T. Bansal, P. Sinha, K. Srinivasan
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引用次数: 23

Abstract

Today's Enterprise Wireless LANs are comprised of densely deployed access points. This paper proposes BBN, an interference nulling scheme that leverages the high density of access points to enable multiple mobile devices to transmit simultaneously to multiple access points (APs), all within a single collision domain. BBN also leverages the capability of the APs to communicate with each other on the wired backbone to migrate most of the decoding complexity to the APs, while keeping the design at the mobile clients simple. Finally, we leverage the static nature of the access points to make BBN more practical in networks where the mobility of clients inhibit the use of traditional interference alignment schemes. We implement a prototype of BBN on USRP testbed showing its feasibility. The experiment results show that BBN provides a throughput gain of 1.48X over omniscient TDMA. Results from our trace-driven simulations show that BBN obtains a throughput of up to 5.6X over omniscient TDMA.
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BBN:使用绑定波束形成和零化的密集企业无线局域网的吞吐量缩放
今天的企业无线局域网由密集部署的接入点组成。本文提出了BBN,这是一种利用高密度接入点使多个移动设备能够同时传输到多个接入点(ap)的干扰消除方案,所有这些接入点都在单个碰撞域中。BBN还利用ap在有线骨干网上相互通信的能力,将大部分解码复杂性转移到ap上,同时保持移动客户端的设计简单。最后,我们利用接入点的静态特性,使BBN在客户端移动性抑制传统干扰校准方案使用的网络中更加实用。我们在USRP测试平台上实现了BBN的原型,验证了其可行性。实验结果表明,BBN比全知TDMA提供了1.48倍的吞吐量增益。我们的跟踪驱动仿真结果表明,BBN在全知TDMA上获得高达5.6倍的吞吐量。
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