Channel Knowledge Map-assisted Dual-domain Tracking and Predictive Beamforming for High-Mobility Wireless Networks
Ruolin Du, Zhiqiang Wei, Zai Yang, Lei Yang, Yong Zeng, Derrick Wing Kwan Ng, Jinhong Yuan

TL;DR
This paper proposes a CKM-assisted dual-domain tracking scheme that integrates coordinate and beam domains for improved high-mobility wireless communication performance, utilizing EKF and CRB analysis.
Contribution
It introduces a novel CKM-based dual-domain tracking and predictive beamforming method that enhances target and beam tracking accuracy in high-mobility scenarios.
Findings
Significant improvements in target tracking accuracy.
Enhanced beam tracking, especially for NLoS paths.
Effective joint beamforming and power allocation strategy.
Abstract
This paper introduces a novel channel knowledge map (CKM)-assisted dual-domain tracking and predictive beamforming scheme for high-mobility wireless networks. The central premise is that the CKM integrates both the coordinate and beam domains, thereby enabling tracking in one domain via treating the other domain's input as priors or measurements. In the coordinate domain (C-Domain), an extended Kalman filter (EKF) is employed to predict and track the state (i.e., location and velocity) of a moving communication receiver across time slots under both line-of-sight (LoS)-present and LoS-absent conditions, where the CKM provides a prior mapping from multipath channel parameters to potential target locations. In the beam domain (B-Domain), the updated location of the receiver is fed back to CKM to offer a priori information of angle of arrival (AoA) variations, which are incorporated to…
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Millimeter-Wave Propagation and Modeling · Direction-of-Arrival Estimation Techniques
