ProBeam:一个实用的多小区波束形成系统,用于OFDMA小小区网络

Jongwon Yoon, K. Sundaresan, M. Khojastepour, S. Rangarajan, Suman Banerjee
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引用次数: 13

摘要

小型蜂窝是下一代蜂窝网络的关键组成部分,其中空间重用是提高频谱效率的关键。通过波束成形在空间域中进行干扰管理,可以在不牺牲时间或频域资源的情况下增加重用。现有的空间复用波束形成技术与客户端调度相结合,在实际实现中面临着一个关键的限制,特别是在OFDMA小蜂窝中。在此背景下,我们认为对于具有波束形成的实际空间复用系统,将波束形成与客户端调度解耦是非常重要的。此外,我们表明,共同解决与波束形成的客户端关联对于最大化波束形成的重用潜力至关重要。为了实现我们的目标,我们提出了ProBeam——一种实用的多小区波束形成系统,可在小型小区网络中重用。ProBeam集成了两个关键组件:低复杂性,高精度SINR估计模块,有助于确定小小区之间波束形成的干扰依赖性;提出了一种高效、低复杂度的小蜂窝联合客户关联和波束选择算法,该算法兼顾了小蜂窝的调度而不与之耦合。我们已经在基于wimax的四个小基站网络上建立了ProBeam的原型。我们的评估显示,我们的SINR估计模块的精度在1 dB以内,联合客户端关联和波束形成的重用收益比基线方法高达115%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ProBeam: a practical multicell beamforming system for OFDMA small-cell networks
Small cells form a critical component of next generation cellular networks, where spatial reuse is the key to higher spectral efficiencies. Interference management in the spatial domain through beamforming allows for increased reuse without having to sacrifice resources in the time or frequency domain. Existing beamforming techniques for spatial reuse, being coupled with client scheduling, face a key limitation in practical realization, especially with OFDMA small cells. In this context, we argue that for a practical spatial reuse system with beamforming, it is important to decouple beamforming from client scheduling. Further, we show that jointly addressing client association with beamforming is critical to maximizing the reuse potential of beamforming. Towards our goal, we propose ProBeam -- a practical multi-cell beamforming system for reuse in small cell networks. ProBeam incorporates two key components - a low complexity, highly accurate SINR estimation module that helps determine interference dependencies for beamforming between small cells; and an efficient, low complexity joint client association and beam selection algorithm for the small cells that accounts for scheduling at the small cells without being coupled with it. We have prototyped ProBeam on a WiMAX-based network of four small cells. Our evaluations reveal the accuracy of our SINR estimation module to be within 1 dB, and the reuse gains from joint client association and beamforming to be as high as 115% over baseline approaches.
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