In vehicular-to-infrastructure (V2I) applications, as we adopt higher frequencies and antenna array processing for faster data rates, beamforming is a critical enabling technology to preserve high-quality communication links between mobile users and the base station. Traditional beamforming requires overhead in establishing the directional link, compounded by short coherence time of mobile users, which necessitates frequent re-calibration. Recent works consider more efficient strategies by leveraging context information, with position-aware approaches showing promise. Nonetheless, uncertainties in even the most advanced localization and odometry methods can lead to com-pounded errors in position estimation for downstream tasks such as beam alignment and tracking. Our work addresses these challenges by factoring in the uncertainties inherent in practical odometry systems. We propose a beamforming optimization that accounts for this uncertainty, complemented by overparameter- ization strategies novel to this non-linear problem of interest. Our simulation results demonstrate the feasibility of maintaining robust communication links in representative scenarios by lever-aging localization and odometry information, despite challenges posed by a mobile platform's imprecise position estimates.
Odometry-Aided mmWave Communications Using Overparameterized Beamforming Optimization
24.06.2024
4722994 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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