Mobile Computing Projects

Abstract:

60GHz channels have few dominant paths due to sparsity. We can use dominant path angular information to predict link performance and track 802.11ad devices. 802.11ad devices have phased arrays, but their limited RF chains and phase control make angular inference difficult.

Considering the beam sweeping operation and high communication bandwidth of 802.11ad devices, we propose variation-based angle estimation (VAE), called VAE-CIR, by using beam-specific channel impulse responses (CIRs) measured under different beams and their directional gains to infer dominant path angular information.

VAE-CIR uses beam-specific CIR variations for angular inference and guarantees performance in the high signal-to-noise-ratio regime. We generate beam-specific CIRs by simulating 802.11ad device beam sweeping with beam patterns measured on off-the-shelf devices to evaluate VAE-CIR. A ray-tracing simulator generates the 60GHz channel and Golay sequences estimate the CIRs. VAE-CIR outperforms other angle estimation schemes in extensive experiments.

Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.

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