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InferBeam: A Fast Beam Alignment Protocol for Millimeter-wave Networking
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We introduce fast millimeter-wave base station (BS) and its antenna sector selection for user equipment based on its location. Using a conditional random field inference model with specially designed parameters, which are robust to change of environment, InferBeam allows the use of measurement samples on best beam selection at a small number of locations to infer the rest dynamically. Compared to beam-sweeping based approaches in the literature, InferBeam can drastically reduce the setup cost for beam alignment for a new environment, and also the latency in acquiring a new beam under intermittent blockage. We have evaluated InferBeam using a discrete event simulation. Our results indicate that the system can make best beam selection for 98% of locations in test environments comprising smallsized apartment or office spaces, while sampling fewer than 1% of locations. InferBeam is a complete protocol for best beam inference that can be integrated into millimeter-wave standards for accelerating the much-needed fast and economic beam alignment capability.
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Cited by 1 Pith paper
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Parameter Modeling for Small-Scale Mobility in Indoor THz Communication
For indoor THz links, the optimal antenna beamwidth is set by a tradeoff between gain and mobility-induced misalignment, and this optimum shifts with user mobility type and access point placement.
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