Adaptive Virtual Waveform Design for Millimeter-Wave Joint Communication-Radar

Kumari, Preeti; Vorobyov, Sergiy A.; Heath, Robert W.

doi:10.48550/arxiv.1904.05516

Cited by 2 publications

(3 citation statements)

References 36 publications

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“…However, this significantly degrades the communication performance. To optimize the trade-off, two approaches are proposed in [97] and [98]. The authors in [97] introduced the concept of "fraction of data symbols".…”

Section: Time-division Approachesmentioning

confidence: 99%

See 1 more Smart Citation

Radio Resource Management in Joint Radar and Communication: A Comprehensive Survey

Luong

Hoang

et al. 2021

IEEE Commun. Surv. Tutorials

126

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Joint radar and communication (JRC) has recently attracted substantial attention. The first reason is that JRC allows individual radar and communication systems to share spectrum bands and thus improves the spectrum utilization. The second reason is that JRC enables a single hardware platform, e.g., an autonomous vehicle or a UAV, to simultaneously perform the communication function and the radar function. As a result, JRC is able to improve the efficiency of resources, i.e., spectrum and energy, reduce the system size, and minimize the system cost. However, there are several challenges to be solved for the JRC design. In particular, sharing the spectrum imposes the interference caused by the systems, and sharing the hardware platform and energy resource complicates the design of the JRC transmitter and compromises the performance of each function. To address the challenges, several resource management approaches have been recently proposed, and this paper presents a comprehensive literature review on resource management for JRC. First, we give fundamental concepts of JRC, important performance metrics used in JRC systems, and applications of the JRC systems. Then, we review and analyze resource management approaches, i.e., spectrum sharing, power allocation, and interference management, for JRC. In addition, we present security issues to JRC and provide a discussion of countermeasures to the security issues. Finally, we highlight important challenges in the JRC design and discuss future research directions related to JRC.

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Section: Time-division Approachesmentioning

confidence: 99%

“…Unlike [97], the authors in [98] proposed to use sparse sensing techniques to optimize the trade-off between the communication performance and radar performance. The idea is to add virtual preambles in a coherent processing interval (CPI).…”

Section: Time-division Approachesmentioning

confidence: 99%

Radio Resource Management in Joint Radar and Communication: A Comprehensive Survey

Luong

Hoang

et al. 2021

IEEE Commun. Surv. Tutorials

126

View full text Add to dashboard Cite

show abstract

“…Next, for ease of exposition, we assume that M frames/preamble sequences are dedicated for sensing. If s m [n] denotes the nth transmitted symbol at the mth frame, with E |s m [n]| 2 = 1, then the complex-baseband representation of the transmit waveform can be written as [30] a…”

Section: Beam Codebookmentioning

confidence: 99%

Millimeter Wave MIMO based Depth Maps for Wireless Virtual and Augmented Reality

Taha¹,

Qu²,

Alex³

et al. 2021

Preprint

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Augmented and virtual reality systems (AR/VR) are rapidly becoming key components of the wireless landscape. For immersive AR/VR experience, these devices should be able to construct accurate depth perception of the surrounding environment. Current AR/VR devices rely heavily on using RGB-D depth cameras to achieve this goal. The performance of these depth cameras, however, has clear limitations in several scenarios, such as the cases with shiny objects, dark surfaces, and abrupt color transition among other limitations. In this paper, we propose a novel solution for AR/VR depth map construction using mmWave MIMO communication transceivers. This is motivated by the deployment of advanced mmWave communication systems in future AR/VR devices for meeting the high data rate demands and by the interesting propagation characteristics of mmWave signals. Accounting for the constraints on these systems, we develop a comprehensive framework for constructing accurate and high-resolution depth maps using mmWave systems. In this framework, we developed new sensing beamforming codebook approaches that are specific for the depth map construction objective. Using these codebooks, and leveraging tools from successive interference cancellation, we develop a joint beam processing approach that can construct high-resolution depth maps using practical mmWave antenna arrays. Extensive simulation results highlight the potential of the proposed solution in building accurate depth maps. Further, these simulations show the promising gains of mmWave based depth perception compared to RGB-based approaches in several important use cases.

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Adaptive Virtual Waveform Design for Millimeter-Wave Joint Communication-Radar

Cited by 2 publications

References 36 publications

Radio Resource Management in Joint Radar and Communication: A Comprehensive Survey

Radio Resource Management in Joint Radar and Communication: A Comprehensive Survey

Millimeter Wave MIMO based Depth Maps for Wireless Virtual and Augmented Reality

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