Limits on Sparse Data Acquisition: RIC Analysis of Finite Gaussian Matrices

Elzanaty, Ahmed; Giorgetti, Andrea; Chiani, Marco

doi:10.1109/tit.2018.2859327

Cited by 21 publications

(6 citation statements)

References 60 publications

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“…leading to (60) obtained by substituting the derived RIS phases in (56) and distribute the summations. Finally, by combining ( 56) and ( 60), the designed phases for the RIS that accounts for the direct and reflected paths can be written, for each k ∈ {1, 2,…”

Section: Ris Phase Designmentioning

confidence: 99%

Reconfigurable Intelligent Surfaces for Localization: Position and Orientation Error Bounds

Elzanaty¹,

Guerra²,

Guidi³

et al. 2020

Preprint

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Next-generation cellular networks will witness the creation of smart radio environments (SREs), where walls and objects can be coated with reconfigurable intelligent surfaces (RISs) to strengthen the communication and localization coverage by controlling the reflected multipath. In fact, RISs have been recently introduced not only to overcome communication blockages due to obstacles but also for high-precision localization of mobile users in GPS denied environments, e.g., indoors. Towards this vision, this paper presents the localization performance limits for communication scenarios where a single next generation NodeB base station (gNB), equipped with multiple-antennas, infers the position and the orientation of a user equipment (UE) in a RIS-assisted SRE. We consider a signal model that is valid also for near-field propagation conditions, as the usually adopted far-field assumption does not always hold, especially for large RISs. For the considered scenario, we derive the Cramr-Rao lower bound (CRLB) for assessing the ultimate localization and orientation performance of synchronous and asynchronous signaling schemes. In addition, we propose a closed-form RIS phase profile that well suits joint communication and localization. We perform extensive numerical results to assess the performance of our scheme for various localization scenarios and RIS phase design. Numerical results show that the proposed scheme can achieve remarkable performance, even in asynchronous signaling and that the proposed phase design approaches the numerical optimal phase design that minimizes the CRLB.

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Section: Ris Phase Designmentioning

confidence: 99%

Reconfigurable Intelligent Surfaces for Localization: Position and Orientation Error Bounds

Elzanaty¹,

Guerra²,

Guidi³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

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“…On the other hand, due to the limitation of its caching mechanism, it does not support rapid collection and retrieval of large amounts of data, resulting in low overall efficiency. In order to solve these problems, a new type of big data collection platform is designed based on Hadoop and NoSQL technologies, through which efficient unbalanced data collection is realized, and the data foundation is provided for the subsequent storage and processing of data [11,12]. Figure 1 is a schematic diagram of the overall architecture of the unbalanced big data collection platform.…”

Section: Design Of Unbalanced Big Data Collection Platformmentioning

confidence: 99%

Unbalanced Big Data-Compatible Cloud Storage Method Based on Redundancy Elimination Technology

2022

Scientific Programming

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In order to meet the requirements of users in terms of speed, capacity, storage efficiency, and security, with the goal of improving data redundancy and reducing data storage space, an unbalanced big data compatible cloud storage method based on redundancy elimination technology is proposed. A new big data acquisition platform is designed based on Hadoop and NoSQL technologies. Through this platform, efficient unbalanced data acquisition is realized. The collected data are classified and processed by classifier. The classified unbalanced big data are compressed by Huffman algorithm, and the data security is improved by data encryption. Based on the data processing results, the big data redundancy processing is carried out by using the data deduplication algorithm. The cloud platform is designed to store redundant data in the cloud. The results show that the method in this paper has high data deduplication rate and data deduplication speed rate and low data storage space and effectively reduces the burden of data storage.

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“…Again, we believe that this problem can be solved with the help of the communications engineering community. For example, novel techniques for wide spectrum monitoring can be achieved by using sub-Nyquist analog-to-digital converters (ADCs) exploiting the sparsity and spatio-temporal structures of the measurements, in the context of compressed sensing [273]- [280].…”

Section: ) Deployment Of Pervasive Emf Measurement Campaigns and Data Integrationmentioning

confidence: 99%

Health Risks Associated With 5G Exposure: A View From the Communications Engineering Perspective

Chiaraviglio

Elzanaty²,

Alouini

2021

IEEE Open J. Commun. Soc.

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The deployment of the fifth-generation (5G) wireless communication services requires the installation of 5G nextgeneration Node-B Base Stations (gNBs) over the territory and the wide adoption of 5G User Equipment (UE). In this context, the population is concerned about the potential health risks associated with the Radio Frequency (RF) emissions from 5G equipment, with several communities actively working toward stopping the 5G deployment. To face these concerns, in this work, we analyze the health risks associated with 5G exposure by adopting a new and comprehensive viewpoint, based on the communications engineering perspective. By exploiting our background, we debunk the alleged health effects of 5G exposure and critically review the latest works that are often referenced to support the health concerns from 5G. We then precisely examine the up-to-date metrics, regulations, and assessment of compliance procedures for 5G exposure, by evaluating the latest guidelines from the Institute of Electrical and Electronics Engineers (IEEE), the International Commission on Non-Ionizing Radiation Protection (ICNIRP), the International Telecommunication Union (ITU), the International Electrotechnical Commission (IEC), and the United States Federal Communications Commission (FCC), as well as the national regulations in more than 220 countries. We also thoroughly analyze the main health risks that are frequently associated with specific 5G features (e.g., multipleinput multiple-output (MIMO), beamforming, cell densification, adoption of millimeter waves, and connection of millions of devices). Finally, we examine the risk mitigation techniques based on communications engineering that can be implemented to reduce the exposure from 5G gNB and UE. Overall, we argue that the widely perceived health risks that are attributed to 5G are not supported by scientific evidence from communications engineering. In addition, we explain how the solutions to minimize the health risks from 5G (including currently unknown effects) are already mature and ready to be implemented. Finally, future works, e.g., aimed at evaluating long-term impacts of 5G exposure, as well as innovative solutions to further reduce the RF emissions, are suggested.

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Limits on Sparse Data Acquisition: RIC Analysis of Finite Gaussian Matrices

Cited by 21 publications

References 60 publications

Reconfigurable Intelligent Surfaces for Localization: Position and Orientation Error Bounds

Reconfigurable Intelligent Surfaces for Localization: Position and Orientation Error Bounds

Unbalanced Big Data-Compatible Cloud Storage Method Based on Redundancy Elimination Technology

Health Risks Associated With 5G Exposure: A View From the Communications Engineering Perspective

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