Abstract
Orthogonal time frequency space (OTFS) modulation is a promising candidate for supporting reliable information transmission in high-mobility vehicular networks. In this paper, we consider the employment of the integrated (radar) sensing and communication (ISAC) technique for assisting OTFS transmission in both uplink and downlink vehicular communication systems. Benefiting from the OTFS-ISAC signals, the roadside unit (RSU) is capable of simultaneously transmitting downlink information to the vehicles and estimating the sensing parameters of vehicles, e.g., locations and speeds, based on the reflected echoes. Then, relying on the estimated kinematic parameters of vehicles, the RSU can construct the topology of the vehicular network that enables the prediction of the vehicle states in the following time instant. Consequently, the RSU can effectively formulate the transmit downlink beamformers according to the predicted parameters to counteract the channel adversity such that the vehicles can directly detect the information without the need of performing channel estimation. As for the uplink transmission, the RSU can infer the delays and Dopplers associated with different channel paths based on the aforementioned dynamic topology of the vehicular network. Thus, inserting guard space as in conventional methods are not needed for uplink channel estimation which removes the required training overhead. Finally, an efficient uplink detector is proposed by taking into account the channel estimation uncertainty. Through numerical simulations, we demonstrate the benefits of the proposed ISAC-assisted OTFS transmission scheme.
Original language | English |
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Pages (from-to) | 1515-1528 |
Number of pages | 14 |
Journal | IEEE Journal on Selected Topics in Signal Processing |
Volume | 15 |
Issue number | 6 |
Early online date | 4 Oct 2021 |
DOIs | |
Publication status | Published - Nov 2021 |
Externally published | Yes |
Bibliographical note
This work was supported in part by the National Natural Science Foundation of China under Project Grant 62101232 and in part by the Australia Research Council under Discovery Project Grant DP190101363 and under Linkage Projects LP Grants 160100708 and LP170101196. The work of D. W. K. Ng was supported by the UNSW Digital Grid Futures Institute, UNSW, Sydney, under a cross-disciplinary fund scheme and by the Australian Research Council’s Discovery Project under Grant DP210102169.Keywords
- Integrated radar sensing and communication
- orthogonal time frequency space (OTFS)
- vehicular networks