Abstract
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.
| Original language | English |
|---|---|
| Article number | 9171304 |
| Pages (from-to) | 7704-7719 |
| Number of pages | 16 |
| Journal | IEEE Transactions on Wireless Communications |
| Volume | 19 |
| Issue number | 11 |
| Early online date | 19 Aug 2020 |
| DOIs | |
| Publication status | Published - Nov 2020 |
| Externally published | Yes |
Bibliographical note
This work was supported in part by the Marie Sklodowska-Curie Individual Fellowship under Grant 793345; in part by the Australia Research Council Discovery Project under Grant DP190101363; in part by the Linkage Projects under Grant LP 160100708 and Grant LP170101196; and in part by the Engineering and Physical Sciences Research Council (EPSRC) of the U.K., under Grant EP/S028455/1.Keywords
- beam alignment
- Kalman filtering
- power allocation
- radar-communication
- V2X