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

By Weijie Yuan, Zhiqiang Wei, Shuangyang Li, Jinhong Yuan, Derrick Wing Kwan Ng. IEEE Journal on Selected Topics in Signal Processing, 2021

337 citations recorded by the source corpus.

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.

Subfields: Aerospace Engineering, Biomedical Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/638f799fda6d33516c95aa5bcdde3a470516c5e4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Wen Chen
2. Kaitao Meng
3. Jun Li
4. Kunlun Wang
5. Shaodan Ma
6. Yuanhao Cui
7. Weijie Yuan
8. Qingqing Wu

In Electrical and Electronic Engineering

1. Wen Chen
2. Kaitao Meng
3. Jun Li
4. Kunlun Wang
5. Shaodan Ma
6. Jia Zhu
7. Yuanhao Cui
8. Weijie Yuan

Citations in the corpus

• Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey (2023, neutral): “OTFS-based ISAC signal is first proposed in [81].”
• Target Sensing With Intelligent Reflecting Surface: Architecture and Performance (2022, neutral): “…[9], which essentially leverages the digitally-controlled metasurface, termed intelligent reflecting surface (IRS) (or reconfigurable intelligent surface (RIS) equivalently), to reconfigure the wireless propagation environment in favor of both wireless communication and radar sensing [10]–[14].”
• Integrated Sensing and Communications: Recent Advances and Ten Open Challenges (2023, positive): “Moreover, the sensory data might also be used for estimating the channel information to reduce the pilot overhead so that the ISAC systems can harvest sensing-assisted performance gains for communications [38], [86], [88].”
• Throughput Maximization for UAV-Enabled Integrated Periodic Sensing and Communication (2022, background): “Different from the spectrum sharing between separate radar sensing and communication systems [3], ISAC shares the same wireless infrastructures for simultaneously conveying information to the receiver and extracting information from the scattered echoes [4].”