Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Low-Complexity Adaptive Beam and Channel Tracking for Mobile mmWave
  Communications   In this paper, we study low-complexity algorithms for beam and channel
tracking for millimeter-wave (mmWave) communications. In particular, the least
mean squares (LMS) and bidirectional LMS (BiLMS) algorithms are derived for a
mobile mmWave transmission scenario, where channel measurement is a nonlinear
function of the unknown angle-of-arrival (AoA) and angle-of-departure (AoD).
Numerical results confirm that LMS is superior to widely used Extended Kalman
Filter (EKF) algorithm in tracking the mmWave beam, when the initialization of
AoA/AoD and channel gains is imperfect (i.e., performed using noisy channel
estimates). Moreover, BiLMS exhibits a very good mean square error (MSE)
performance as compared to both LMS and EKF, which makes it a promising channel
tracking algorithm for a mobile mmWave transmission scenario. We also show that
LMS and BiLMS algorithms are more robust against the impairments due to the
non-optimal antenna array size as compared to EKF, and show relatively faster
convergence characteristic along with increasing signal-to-noise ratio (SNR).

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The categories of this paper are: astro-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: adap-org
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The categories of this paper are: supr-con
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The categories of this paper are: cmp-lg
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The categories of this paper are: hep-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: hep-lat
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The categories of this paper are: nucl-ex
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The categories of this paper are: dg-ga
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The categories of this paper are: math-ph
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The categories of this paper are: physics
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-ex
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The categories of this paper are: stat