How to Mobilize mmWave: A Joint Beam and Channel Tracking Approach
Jiahui Li, Yin Sun, Limin Xiao, Shidong Zhou, Ashutosh Sabharwal

TL;DR
This paper introduces a novel joint beam and channel tracking algorithm for mmWave systems that achieves high accuracy and speed with low pilot overhead, outperforming existing methods especially in low SNR conditions.
Contribution
The paper presents a new algorithm for joint beam and channel tracking in mmWave systems that converges to the Cramér-Rao bound and operates efficiently in dynamic scenarios.
Findings
Achieves convergence to the Cramér-Rao lower bound in static scenarios.
Outperforms existing algorithms in simulations across various conditions.
Maintains over 95% channel capacity at 5dB SNR with minimal pilot overhead.
Abstract
Maintaining reliable millimeter wave (mmWave) connections to many fast-moving mobiles is a key challenge in the theory and practice of 5G systems. In this paper, we develop a new algorithm that can jointly track the beam direction and channel coefficient of mmWave propagation paths using phased antenna arrays. Despite the significant difficulty in this problem, our algorithm can simultaneously achieve fast tracking speed, high tracking accuracy, and low pilot overhead. In static scenarios, this algorithm can converge to the minimum Cram\'er-Rao lower bound of beam direction with high probability. Simulations reveal that this algorithm greatly outperforms several existing algorithms. Even at SNRs as low as 5dB, our algorithm is capable of tracking a mobile moving at an angular velocity of 5.45 degrees per second and achieving over 95\% of channel capacity with a 32-antenna phased array,…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization · Microwave Engineering and Waveguides
