Wang, XY;
Yang, S;
Zhai, HY;
Masouros, C;
Andrew Zhang, J;
(2024)
Windowing Optimization for Fingerprint-Spectrum -Based Passive Sensing in Perceptive Mobile Networks.
IEEE Transactions on Communications
10.1109/TCOMM.2024.3446610.
(In press).
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Abstract
Perceptive mobile networks (PMN) have been widely recognized as a pivotal pillar for the sixth generation (6G) mobile communication systems. However, the asynchronicity between transmitters and receivers results in velocity and range ambiguity, which seriously degrades the sensing performance. To mitigate the ambiguity, carrier frequency offset (CFO) and time offset (TO) synchronizations have been studied in the literature. However, their performance can be significantly affected by the specific choice of the window functions harnessed. Hence, we set out to find superior window functions capable of improving the performance of CFO and TO estimation algorithms. We firstly derive a near-optimal window, and the theoretical synchronization mean square error (MSE) when utilizing this window. However, since this window is not practically achievable, we then test a practical “window function" by utilizing the multiple signal classification (MUSIC) algorithm, which may lead to excellent synchronization performance.
| Type: | Article |
|---|---|
| Title: | Windowing Optimization for Fingerprint-Spectrum -Based Passive Sensing in Perceptive Mobile Networks |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/TCOMM.2024.3446610 |
| Publisher version: | https://doi.org/10.1109/TCOMM.2024.3446610 |
| 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 (ISAC), perceptive mobile network (PMN), orthogonal frequency-division multiplexing (OFDM), synchronization, window function |
| 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/10196600 |
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