Multi-Stream Beam-Training for mmWave MIMO Networks
Multi-Stream Beam-Training for mmWave MIMO Networks
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DOI：
10.1145/3241539.3241556
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发表时间：
2018-10
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影响因子：
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通讯作者：
Yasaman Ghasempour;Muhammad Kumail Haider;C. Cordeiro;Dimitrios Koutsonikolas;E. Knightly
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文献类型：
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作者：
Yasaman Ghasempour;Muhammad Kumail Haider;C. Cordeiro;Dimitrios Koutsonikolas;E. Knightly
多流 60 GHz 通信有可能通过复用多个数据流来实现高达 100 美元 Gbps 的数据速率。不幸的是，建立多流定向链路可能是一个高开销过程，因为搜索空间随着空间流数量和 AP-客户端波束分辨率的乘积而增加。在本文中，我们提出了毫米波网络的多流波束训练（MUTE），这是一种新颖的系统，它利用信道稀疏性、GHz 级采样率和毫米波射频码本波束图案的知识来构建一组用于多流波束控制的候选波束。在 60 GHz WLAN 中，AP 通过定期波束训练建立并维护与每个客户端的定向链路。 MUTE 重新调整这些波束采集扫描的用途，以零额外开销来估计每个波束的功率延迟分布 (PDP)。将 PDP 估计与波束方向图知识相结合，MUTE 选择一组候选波束，捕获不同或理想正交的路径，以获得最大的流可分离性。我们的实验表明，MUTE 实现了最大可实现聚合速率的 90%，而仅产生穷举搜索训练开销的 0.04%。
Multi-stream 60 GHz communication has the potential to achieve data rates up to $100$ Gbps via multiplexing multiple data streams. Unfortunately, establishing multi-stream directional links can be a high overhead procedure as the search space increases with the number of spatial streams and the product of AP-client beam resolution. In this paper, we present MUlti-stream beam-Training for mm-wavE networks (MUTE) a novel system that leverages channel sparsity, GHz-scale sampling rate, and the knowledge of mm-Wave RF codebook beam patterns to construct a set of candidate beams for multi-stream beam steering. In 60 GHz WLANs, the AP establishes and maintains a directional link with every client through periodic beam training. MUTE repurposes these beam acquisition sweeps to estimate the Power Delay Profile (PDP) of each beam with zero additional overhead. Coupling PDP estimates with beam pattern knowledge, MUTE selects a set of candidate beams that capture diverse or ideally orthogonal paths to obtain maximum stream separability. Our experiments demonstrate that MUTE achieves 90% of the maximum achievable aggregate rate while incurring only 0.04% of exhaustive search's training overhead.