Joint Design for Cooperative Radar and Communication Systems in Multi-Target Optimization

Qian, Junhui; Tian, Fengchun; Zhang, Yisha; Jiang, Anyan

doi:10.1109/tcsii.2021.3100350

Cited by 6 publications

(2 citation statements)

References 22 publications

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“…Recently, Qian et al further studied a multi-target scenario and performed a joint communication code book and radar precoding design. The effective interference of the radar was minimized in this study [53]. Similar to [42], Biswas et al considered the coexistence of an FD communication system and a radar.…”

Section: A Communication and Sensing Coexistencementioning

confidence: 88%

Joint Communication and Sensing Toward 6G: Models and Potential of Using MIMO

Fang

Feng

Chen

et al. 2023

IEEE Internet Things J.

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The sixth-generation (6G) network is envisioned to integrate communication and sensing functions, so as to improve the spectrum efficiency (SE) and support explosive novel applications. Although the similarities of wireless communication and radio sensing lay the foundation for their combination, there is still considerable incompatible interest between them. To simultaneously guarantee the communication capacity and the sensing accuracy, the multiple-input and multiple-output (MIMO) technique plays an important role due to its unique capability of spatial beamforming and waveform shaping. However, the configuration of MIMO also brings high hardware cost, high power consumption, and high signal processing complexity. How to efficiently apply MIMO to achieve balanced communication and sensing performance is still open. In this survey, we discuss joint communication and sensing (JCAS) in the context of MIMO. We first outline the roles of MIMO in the process of wireless communication and radar sensing. Then, we present current advances in both communication and sensing coexistence and integration in detail. Three novel JCAS MIMO models are subsequently discussed by combining cutting-edge technologies, i.e., cloud random access networks (C-RANs), unmanned aerial vehicles (UAVs) and reconfigurable intelligent surfaces (RISs). Examined from the practical perspective, the potential and challenges of MIMO in JCAS are summarized, and promising solutions are provided. Motivated by the great potential of the Internet of Things (IoT), we also specify JCAS in IoT scenarios and discuss the uniqueness of applying JCAS to IoT. In the end, open issues are outlined to envisage a ubiquitous, intelligent and secure JCAS network in the near future.

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Section: A Communication and Sensing Coexistencementioning

confidence: 88%

Joint Communication and Sensing Toward 6G: Models and Potential of Using MIMO

Fang

Feng

Chen

et al. 2023

IEEE Internet Things J.

View full text Add to dashboard Cite

show abstract

“…Considering the imperfection of the channel state information (CSI), the author pointed out that the proposed scheme lacks robustness, and perhaps some optimality should be given up for better resilience [50]. Recently, Qian et al further studied a multi-target scenario and did a joint communication code book and radar precoding design, and the effective interference of the radar was minimized [51]. Similar to [40], Biswas et al considered the coexistence of an FD communication system and a radar.…”

Section: A Communication and Sensing Coexistencementioning

confidence: 99%

Joint Communication and Sensing: Models and Potential of Using MIMO

Fang¹,

Feng²,

Chen³

et al. 2022

Preprint

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The sixth-generation (6G) network is envisioned to integrate communication and sensing functions, so as to improve the spectrum efficiency (SE) and support explosive novel applications. Although the similarities of wireless communication and radio sensing lay the foundation for their combinations, their different requirements for electromagnetic signals make the joint system design a hard task. To simultaneously guarantee sensing accuracy and communication capacity, the multipleinput and multiple-output (MIMO) technique plays an important role, due to its unique capability of spatial beamforming and waveform shaping. However, the configuration of MIMO also brings high hardware cost, high power consumption, and high signal processing complexity. How to efficiently apply MIMO in the joint communication and sensing (JCAS) system is still open. In this survey, we discuss JCAS in the context of MIMO configurations. We first outline the roles of MIMO in the progress of communication and radar sensing. Then, we review current advances in both communication and sensing coexistence and integration in detail. Three novel JCAS MIMO models are subsequently discussed by introducing the promising 6G enablers, i.e., the unmanned aerial vehicle (UAV) and the reconfigurable intelligent surface (RIS). With the aim of building a compatible dual-function system, the benefits and challenges of MIMO in JCAS are summarized in each subsection. Promising solutions are also discussed from the system perspective with simple, intelligent and robust principles. In the end, open issues are outlined to envisage a comprehensive JCAS network in the near future.

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