4.7 Article

Integrated Sensing and Communication-Assisted Orthogonal Time Frequency Space Transmission for Vehicular Networks

Journal

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING
Volume 15, Issue 6, Pages 1515-1528

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSTSP.2021.3117404

Keywords

Sensors; Uplink; Downlink; Channel estimation; Radar; OFDM; Time-frequency analysis; Integrated radar sensing and communication; orthogonal time frequency space (OTFS); vehicular networks

Funding

  1. National Natural Science Foundation of China [62101232]
  2. Australia Research Council [DP190101363, 160100708, LP170101196]
  3. UNSW Digital Grid Futures Institute, UNSW, Sydney
  4. Australian Research Council [DP210102169]

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This paper investigates the use of ISAC technology to assist in OTFS transmission, allowing RSUs to transmit information to vehicles and estimate vehicle perception parameters in vehicular communication systems.
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.

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