Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies

Ma, Dingyou; Shlezinger, Nir; Huang, Tianyao; Liu, Yimin; Eldar, Yonina C.

doi:10.1109/msp.2020.2983832

Cited by 318 publications

(192 citation statements)

References 66 publications

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“…Smart ambulances containing medical equipment require extremely reliable and low latency communication to communicate with medical staff at hospitals for real time monitoring and sensitive data transfer, like ECG and EEG. For safe self-driving of smart ambulances, a relatively new concept called joint radar communication (JRC) can be used to enable reliable sensing and V2X communication (Ma et al, 2020). Edge intelligence can also be used for autonomous ambulances and teleoperated vehicles to support very high mobility.…”

Section: Reliable and Low Latency Communication Enhancementmentioning

confidence: 99%

Role of Wireless Communication in Healthcare System to Cater Disaster Situations Under 6G Vision

2020

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The natural disasters created by infectious diseases have a formidable impact on people and societies. Without affecting the city infrastructure, pandemics leave the places abandoned because of the shortage of human resources, either due to deaths, illness, or unwillingness to work because of health risks. However, providing a timely response can prevent losses from occurring due to the virus dissemination. Since the first reported case of influenza in 1918 to the current pandemic Coronavirus Disease-2019 (COVID-19), the system playing a key role in saving human lives is healthcare. Nowadays, smart healthcare system development is a popular trend and wireless communication is the backbone of such systems. To provide patients with diagnosis, treatments, and several health services both within hospitals and remotely, all the healthcare units must be equipped with advanced technologies. A rapid response unit is also required to handle the thrust of the patients and queries generated during disasters. This paper discusses healthcare communication challenges and possible solutions for early awareness and rapid response in disaster situations under the human-centric vision of sixth-generation wireless technologies.

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Section: Reliable and Low Latency Communication Enhancementmentioning

confidence: 99%

Role of Wireless Communication in Healthcare System to Cater Disaster Situations Under 6G Vision

2020

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“…MmWave radars enable high-resolution sensing with a wide field of view, while mmWave communications provide a high data rate. The combination of these two technologies into a single joint communication-radar (JCR) [3], also commonly known as RadCom [4] or dual function radar-communications [5], enables hardware reuse and a common signaling waveform. This leads to significant benefits in cost, power consumption, latency, spectrum efficiency, and market penetrability as compared to communications and radars separately.…”

Section: Introductionmentioning

confidence: 99%

JCR70: A Low-Complexity Millimeter-Wave Proof-of-Concept Platform for a Fully-Digital SIMO Joint Communication-Radar

Kumari

Mezghani

Heath

2021

IEEE Open J. Veh. Technol.

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A fully-digital wideband joint communication-radar (JCR) with a single-input-multiple-output (SIMO) architecture at the millimeter-wave (mmWave) band will enable high joint communication and radar performance with enhanced design flexibility. A quantized receiver with few-bit analog-to-digital converters (ADCs) will enable a practical JCR solution with reduced power consumption for futuristic portable devices and autonomous vehicles. In this paper, we present a joint communicationradar proof-of-concept platform, named JCR70, to evaluate and demonstrate the performance of these JCR systems using real channel measurements in the 71-76 GHz band. We develop this platform by extending a mmWave communication set-up with an additional full-duplex radar receiver and by capturing the SIMO JCR channel using a moving antenna on a sliding rail. To characterize the JCR performance of our developed testbed, we conduct several indoor and outdoor experiments and apply traditional as well as advanced processing algorithms on the measured data. The experimental results show that the quantized receiver with 2-4 bit ADCs generally performs quite close to the high-resolution ADC for a signal-to-noise ratio of up to 5 dB. Additionally, we compare the performance of our JCR70 platform with the INRAS Radarbook, which is a state-of-the-art automotive radar evaluation platform at 77 GHz.

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“…Most prior work on mmWave automotive JCR systems are either radar-centric or communication-centric [4], [5]. In the radar-centric JCR, the communication messages are modulated on top of the radar waveforms [6], or the communication information is embedded in the TX beamforming vectors [7].…”

Section: Introductionmentioning

confidence: 99%

Adaptive and Fast Combined Waveform-Beamforming Design for MMWave Automotive Joint Communication-Radar

Kumari

Myers

Heath

2021

IEEE J. Sel. Top. Signal Process.

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Millimeter-wave (mmWave) joint communicationradar (JCR) will enable high data rate communication and highresolution radar sensing for applications such as autonomous driving. Prior JCR systems that are based on the mmWave communications hardware, however, suffer from a limited angular field-of-view and low estimation accuracy for radars due to the employed directional communication beam. In this paper, we propose an adaptive and fast combined waveform-beamforming design for the mmWave automotive JCR with a phased-array architecture that permits a trade-off between communication and radar performances. To rapidly estimate the mmWave automotive radar channel in the Doppler-angle domain with a wide field-of-view, our JCR design employs circulant shifts of the transmit beamformer to acquire radar channel measurements and uses two-dimensional compressed sensing (CS) in the spacetime dimension. We optimize these circulant shifts to minimize the coherence of the CS matrix, under the space-time sampling constraints in our problem. We evaluate the JCR performance trade-offs using a normalized mean square error (MSE) metric for radar estimation and a distortion MSE metric for data communication, which is analogous to the distortion metric in the rate-distortion theory. Additionally, we develop a MSEbased weighted average optimization problem for the adaptive JCR combined waveform-beamforming design. Numerical results demonstrate that our proposed JCR design enables the estimation of short-and medium-range radar channels in the Doppler-angle domain with a low normalized MSE, at the expense of a small degradation in the communication distortion MSE.

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Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies

Cited by 318 publications

References 66 publications

Role of Wireless Communication in Healthcare System to Cater Disaster Situations Under 6G Vision

Role of Wireless Communication in Healthcare System to Cater Disaster Situations Under 6G Vision

JCR70: A Low-Complexity Millimeter-Wave Proof-of-Concept Platform for a Fully-Digital SIMO Joint Communication-Radar

Adaptive and Fast Combined Waveform-Beamforming Design for MMWave Automotive Joint Communication-Radar

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