Transmit/Receive Beamforming for MIMO-OFDM Based Dual-Function Radar and Communication

Tian, Tuanwei; Zhang, Tianxian; Kong, Lingjiang; Deng, Yanhong

doi:10.1109/tvt.2021.3072094

Cited by 45 publications

(12 citation statements)

References 56 publications

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“…Tian et al followed the sidelobe control idea in [63] and refined this scheme by joint T&R beamforming. Simulations showed that the new optimized waveform achieves better communication and sensing performance than the radar embedding scheme [117].…”

Section: B Communication and Sensing Integrationmentioning

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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Section: B Communication and Sensing Integrationmentioning

confidence: 99%

Joint Communication and Sensing: Models and Potential of Using MIMO

Fang¹,

Feng²,

Chen³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Tian et al followed the idea of sidelobe control proposed in [65] and refined this scheme by joint T&R beamforming. Simulation results show that the new optimized waveform achieves better communication and sensing performance than directly embedding bits in the radar waveform [119]. In particular, instead of using indirect objectives such as waveform similarity and radar SINR, Liu optimized the CRB to guarantee the estimation performance, which, however, leads to a much more complex problem [120].…”

Section: B Communication and Sensing Integrationmentioning

confidence: 99%

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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“…Due to the frequency selectivity in the considered wideband massive MIMO LEO system, the OFDM scheme is employed to mitigate the inter-symbol interference [14], [24]. In particular, a total of M subcarriers are employed over the signal bandwidth B w .…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…Recently, some promising operations have been investigated for terrestrial ISAC systems. In particular, orthogonal frequency division multiplexing (OFDM) signals are adopted for communications to mitigate the inter-symbol interference, which can also be employed for target sensing [23], [24]. Besides, the multibeam technology has been proposed to satisfy various requirements for beamwidth and power levels for the two functional modules [9].…”

Section: Introductionmentioning

confidence: 99%

Beam Squint-Aware Integrated Sensing and Communications for Hybrid Massive MIMO LEO Satellite Systems

You,

Qiang,

Tsinos

et al. 2022

Preprint

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The space-air-ground-sea integrated network (SAGSIN) plays an important role in offering global coverage. To improve the efficient utilization of spectral and hardware resources in the SAGSIN, integrated sensing and communications (ISAC) has drawn extensive attention. Most existing ISAC works focus on terrestrial networks and can not be straightforwardly applied in satellite systems due to the significantly different electromagnetic wave propagation properties. In this work, we investigate the application of ISAC in massive multiple-input multiple-output (MIMO) low earth orbit (LEO) satellite systems. We first characterize the statistical wave propagation properties by considering beam squint effects. Based on this analysis, we propose a beam squint-aware ISAC technique for hybrid analog/digital massive MIMO LEO satellite systems exploiting statistical channel state information. Simulation results demonstrate that the proposed scheme can operate both the wireless communications and the target sensing simultaneously with satisfactory performance, and the beam-squint effects can be efficiently mitigated with the proposed method in typical LEO satellite systems.

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Transmit/Receive Beamforming for MIMO-OFDM Based Dual-Function Radar and Communication

Cited by 45 publications

References 56 publications

Joint Communication and Sensing: Models and Potential of Using MIMO

Joint Communication and Sensing: Models and Potential of Using MIMO

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

Beam Squint-Aware Integrated Sensing and Communications for Hybrid Massive MIMO LEO Satellite Systems

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