Du, Zhen;
Liu, Fan;
Yuan, Weijie;
Masouros, Christos;
Zhang, Zenghui;
Xia, Shuqiang;
Caire, Giuseppe;
(2023)
Integrated Sensing and Communications for V2I Networks: Dynamic Predictive Beamforming for Extended Vehicle Targets.
IEEE Transactions on Wireless Communications
, 22
(6)
3612 -3627.
10.1109/twc.2022.3219890.
Preview |
Text
Integrated_Sensing_and_Communications_for_V2I_Networks_Dynamic_Predictive_Beamforming_for_Extended_Vehicle_Targets.pdf - Accepted Version Download (3MB) | Preview |
Abstract
We investigate sensing-assisted beamforming for vehicle-to-infrastructure (V2I) communication by exploiting integrated sensing and communications (ISAC) functionalities at the roadside unit (RSU). The RSU deploys a massive multi-input-multi-output (mMIMO) array at mmWave. The pencil-sharp mMIMO beams and fine range-resolution implicate that the point-target assumption is impractical, as the vehicle’s geometry becomes essential. Therefore, the communication receiver (CR) may never lie in the beam, even when the vehicle is accurately tracked. To tackle this problem, we consider the extended target with two novel schemes. For the first scheme, the beamwidth is adjusted in real-time to cover the entire vehicle, followed by an extended Kalman filter to predict and track the position of CR according to resolved scatterers. An upgraded scheme is proposed by splitting each transmission block into two stages. The first stage is exploited for ISAC with a wide beam. Based on the sensed results at the first stage, the second stage is dedicated to communication with a pencil-sharp beam, yielding significant communication improvements. We reveal the inherent tradeoff between the two stages in terms of their durations, and develop an optimal allocation strategy that maximizes the average achievable rate. Finally, simulations verify the superiorities of proposed schemes over state-of-the-art methods.
| Type: | Article |
|---|---|
| Title: | Integrated Sensing and Communications for V2I Networks: Dynamic Predictive Beamforming for Extended Vehicle Targets |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/twc.2022.3219890 |
| Publisher version: | https://doi.org/10.1109/TWC.2022.3219890 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | Integrated sensing and communication, extended target tracking, MIMO beamforming, V2I |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10159732 |
Archive Staff Only
 |
View Item |
