Joint Communication and Radar Sensing with Reconfigurable Intelligent Surfaces

Sankar, R. S. Prasobh; Deepak, Battu; Chepuri, Sundeep Prabhakar

doi:10.48550/arxiv.2105.01966

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Despite the inevitable challenges for the efficient orchestration of all dynamically reconfigurable entities in smart wireless environments, several applications of RIS-empowered wireless communication have been lately considered. Among them belong the adoption of RISs for extending signal coverage [48], [49], [50], [51], [52], [53], enabling or boosting accurate localization [54], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], and enabling physical-layer security [66], [67], [68], [69], [70], [71], [72], [73], [74], [75], [76]. In [77], the coexistence of eMBB and URLLC services in a cellular network that is assisted by an RIS was studied.…”

Section: Introductionmentioning

confidence: 99%

Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces

et al. 2022

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Among others, a fully-passive IRS aided sensing system was studied in [22]- [27], where an IRS without any transmit/receive radio-frequency (RF) chains is employed to help estimate the direction of a nearby target in the challenging scenario where the direct link between the BS and target is blocked. In this case, the BS sends probing signals, which are reflected by the IRS to illuminate the target with dynamically tuned beam directions.…”

Section: Introductionmentioning

confidence: 99%

Target Sensing with Intelligent Reflecting Surface: Architecture and Performance

Shao¹,

You²,

Ma³

et al. 2022

Preprint

View full text Add to dashboard Cite

Intelligent reflecting surface (IRS) has emerged as a promising technology to reconfigure the radio propagation environment by dynamically controlling wireless signal's amplitude and/or phase via a large number of reflecting elements. In contrast to the vast literature on studying IRS's performance gains in wireless communications, we study in this paper a new application of IRS for sensing/localizing targets in wireless networks. Specifically, we propose a new self-sensing IRS architecture where the IRS controller is capable of transmitting probing signals that are not only directly reflected by the target (referred to as the direct echo link), but also consecutively reflected by the IRS and then the target (referred to as the IRSreflected echo link). Moreover, dedicated sensors are installed at the IRS for receiving both the direct and IRS-reflected echo signals from the target, such that the IRS can sense the direction of its nearby target by applying a customized multiple signal classification (MUSIC) algorithm. However, since the angle estimation mean square error (MSE) by the MUSIC algorithm is intractable, we propose to optimize the IRS passive reflection for maximizing the average echo signals' total power at the IRS sensors and derive the resultant Cramer-Rao bound (CRB) of the angle estimation MSE. Last, numerical results are presented to show the effectiveness of the proposed new IRS sensing architecture and algorithm, as compared to other benchmark sensing systems/algorithms.

show abstract

“…The goal was to maximize the radar signal-to-interference-plusnoise ratio (SINR) under the communication SINR constraint. The authors of [13] proposed an RIS that is adaptively partitioned into two parts for communication and localization, respectively, when no direct path exists. Motivated by the above discussions, in this work we investigate the RIS assisted communication system by designing a configuration with integrated sensing capability.…”

mentioning

confidence: 99%

Joint Localization and Information Transfer for Reconfigurable Intelligent Surface Aided Full-Duplex Systems

Shao¹,

Yuan²,

Zhang³

et al. 2022

Preprint

View full text Add to dashboard Cite

In this work, we investigate a reconfigurable intelligent surface (RIS) aided integrated sensing and communication scenario, where a base station (BS) communicates with multiple devices in a full-duplex mode, and senses the positions of these devices simultaneously. An RIS is assumed to be mounted on each device to enhance the reflected echoes. Meanwhile, the information of each device is passively transferred to the BS via reflection modulation. We aim to tackle the problem of joint localization and information retrieval at the BS. A grid based parametric model is constructed and the joint estimation problem is formulated as a compressive sensing problem. We propose a novel message-passing algorithm to solve the considered problem, and a progressive approximation method to reduce the computational complexity involved in the message passing. Moreover, an expectation-maximization (EM) algorithm is applied for tuning the grid parameters to mitigate the model mismatch problem. Finally, we analyze the efficacy of the proposed algorithm through the Bayesian Cramér-Rao bound. Numerical results demonstrate the feasibility of the proposed scheme and the superior performance of the proposed EM-based message-passing algorithm.

show abstract

Joint Communication and Radar Sensing with Reconfigurable Intelligent Surfaces

Cited by 3 publications

References 0 publications

Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces

Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces

Target Sensing with Intelligent Reflecting Surface: Architecture and Performance

Joint Localization and Information Transfer for Reconfigurable Intelligent Surface Aided Full-Duplex Systems

Contact Info

Product

Resources

About