Hu, J;
Han, K;
Jiang, L;
Meng, K;
Liu, F;
Masouros, C;
(2025)
Learning-Based Constellation Design for Uplink Bi-Static Integrated Sensing and Communication.
IEEE Transactions on Vehicular Technology
10.1109/TVT.2025.3554439.
(In press).
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Abstract
This paper proposes an end-to-end deep learning based constellation design for integrated sensing and communication (ISAC) for the uplink of orthogonal frequency division multiplexing (OFDM) systems. Utilizing an auto-encoder architecture, the system designs and optimizes constellation mappings to balance the trade-off between communication and sensing performance under a bi-static scenario where receiver has no knowledge about transmitted signals. The constellation design is trained to adapt to specific channel conditions, offering flexible control over the communication-sensing performances by adjusting a radar weighting factor. Simulation results show that this design outperforms conventional constellation formats such as 64-QAM and 64-PSK in symbol error rate (SER), while outperforming the 64-QAM in sensing error. Furthermore, the proposed constellation design demonstrates robust performance even under channel state information (CSI) errors of up to 1.5%.
| Type: | Article |
|---|---|
| Title: | Learning-Based Constellation Design for Uplink Bi-Static Integrated Sensing and Communication |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/TVT.2025.3554439 |
| Publisher version: | https://doi.org/10.1109/tvt.2025.3554439 |
| 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 communications (ISAC), precoder design, orthogonal frequency division multiplexing (OFDM), Multiple Imput and Multiple Output (MIMO) |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS 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/10207843 |
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