Fast Beam Alignment for Millimeter Wave Time-Varying Channels Using Sparse Codes
نویسندگان
چکیده
In this paper, a novel beam alignment algorithm based on the sparse graph coding theory is proposed for millimeter wave (mmWave) time-varying channels. Firstly, pilot design method introduced to transform mmWave into sparse-graph and detection problem. Inspired by Low-Density-Parity-Check (LDPC) codes fountain codes, multi-stage of measurement matrix theoretical bound probability success derived guide sparse-graph. A subsequently detect index estimate carrier frequency offset (CFO). Then, Carmeŕ-Rao Lower Bound (CRLB) derived. Simulation results demonstrate that achieves significant performance improvements over conventional counterparts in both noiseless noise cases.
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ژورنال
عنوان ژورنال: IEEE Transactions on Vehicular Technology
سال: 2021
ISSN: ['0018-9545', '1939-9359']
DOI: https://doi.org/10.1109/tvt.2021.3094587