期刊
IEEE COMMUNICATIONS LETTERS
卷 25, 期 2, 页码 332-336出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2020.3025331
关键词
Array signal processing; Tutorials; Radar tracking; Antenna arrays; Estimation; Predictive models; Trajectory; V2X; dual-functional radar-communication; beam tracking; beam prediction
资金
- Marie Sklodowska-Curie Individual Fellowship [793345]
- Engineering and Physical Sciences Research Council (EPSRC) of the U.K. [EP/S028455/1]
- EPSRC [EP/S028455/1] Funding Source: UKRI
In this tutorial on dual-functional radar-communication (DFRC) design for vehicular networks, we overviewed the basics of radar and communication systems and the state of the art in DFRC. Part III addresses the issue of predictive beamforming for vehicle-to-infrastructure links without the need for explicit state evolution models. The proposed prediction method outperforms conventional benchmark schemes in terms of achievable communication rate, as verified through numerical simulations.
In Part I and II of this three-part tutorial on dual-functional radar-communication (DFRC) design for vehicular networks, we overviewed the basics of radar and communication systems and the state of the art in DFRC respectively. As Part III of the tutorial, we address the issue of predictive beamforming for the vehicle-to-infrastructure (V2I) links without the need for explicit state evolution models. The beam tracking is done with the aid of the dual-functional radar-communication signals transmitted by the road side unit (RSU). The vehicle's location parameters are estimated by exploiting the reflected echoes signals. Given these estimates, we propose a prediction method to predict the next position of the vehicle, without specifying a state model. Finally, we verify the superiority of the proposed approaches via numerical simulations, which show that the proposed technique outperforms the conventional benchmark schemes in terms of the achievable communication rate.
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