期刊
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 19, 期 11, 页码 7704-7719出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2020.3015735
关键词
Radar tracking; Sensors; Downlink; Array signal processing; Resource management; Antenna arrays; V2X; radar-communication; beam alignment; Kalman filtering; power allocation
资金
- Marie Sklodowska-Curie Individual Fellowship [793345]
- Australia Research Council [DP190101363]
- Engineering and Physical Sciences Research Council (EPSRC) of the U.K. [EP/S028455/1]
- [LP 160100708]
- [LP170101196]
- Australian Research Council [LP170101196] Funding Source: Australian Research Council
- EPSRC [EP/S028455/1, EP/R007934/1] Funding Source: UKRI
In vehicular networks of the future, sensing and communication functionalities will be intertwined. In this article, we investigate a radar-assisted predictive beamforming design for vehicle-to-infrastructure (V2I) communication by exploiting the dual-functional radar-communication (DFRC) technique. Aiming for realizing joint sensing and communication functionalities at road side units (RSUs), we present a novel extended Kalman filtering (EKF) framework to track and predict kinematic parameters of each vehicle. By exploiting the radar functionality of the RSU we show that the communication beam tracking overheads can be drastically reduced. To improve the sensing accuracy while guaranteeing the downlink communication sum-rate, we further propose a power allocation scheme for multiple vehicles. Numerical results have shown that the proposed DFRC based beam tracking approach significantly outperforms the communication-only feedback based technique in the tracking performance. Furthermore, the designed power allocation method is able to achieve a favorable performance trade-off between sensing and communication.
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