A Survey on Intelligent Reflecting Surfaces: Wireless Communication Perspective

Hassouna, Saber

doi:10.36227/techrxiv.19181693

Cited by 6 publications

(9 citation statements)

References 0 publications

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“…leading to a 6D optimization problem. In the subsequent sections, our focus will be directed towards solving (8), and when convenient, its concentrated form (10), with an emphasis on achieving low computational complexity.…”

Section: Problem Description and Maximum-likelihood Estimatormentioning

confidence: 99%

“…Among the promising enabling technologies for the realization of 6G, reconfigurable intelligent surfaces (RISs) have emerged as a disruptive and transformative concept [8]. RISs, also known as intelligent reflecting surfaces or programmable metasurfaces, are planar structures comprising numerous passive elements that can control and manipulate electromagnetic waves [9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Constrained RIS Phase Profile Optimization and Time Sharing for Near-field Localization

Rahal¹,

Denis²,

Keykhosravi

et al. 2022

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

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In the context of single-base station (BS) nonline-of-sight (NLoS) single-epoch localization with the aid of a reflective reconfigurable intelligent surface (RIS), this paper introduces a novel three-step algorithm that jointly estimates the position and velocity of a mobile user equipment (UE), while compensating for the Doppler effects observed in near-field (NF) at the RIS elements over the short transmission duration of a sequence of downlink (DL) pilot symbols. First, a low-complexity initialization procedure is proposed, relying in part on far-field (FF) approximation and a static user assumption. Then, an alternating optimization procedure is designed to iteratively refine the velocity and position estimates, as well as the channel gain. The refinement routines leverage small angle approximations and the linearization of the RIS response, accounting for both NF and mobility effects. We evaluate the performance of the proposed algorithm through extensive simulations under diverse operating conditions with regard to signal-to-noise ratio (SNR), UE mobility, uncontrolled multipath and RIS-UE distance. Our results reveal remarkable performance improvements over the stateof-the-art (SoTA) mobility-agnostic benchmark algorithm, while indicating convergence of the proposed algorithm to respective theoretical bounds on position and velocity estimation.

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Section: Problem Description and Maximum-likelihood Estimatormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Constrained RIS Phase Profile Optimization and Time Sharing for Near-field Localization

Rahal¹,

Denis²,

Keykhosravi

et al. 2022

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

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“…The mentioned metrics are discussed below, beginning with semantic distance. 14 The authors of [137] believe that Seb will be an essential building block for a more comprehensive semantic information-processing framework that integrates SemCom and semantic computation. To this end, they recommend studying the Seb representation to enable unified/generalized semantic information extraction and representation for multimodal (syntactic) information [137].…”

Section: Semantic Metrics For Text Quality Assessmentmentioning

confidence: 99%

Making Sense of Meaning: A Survey on Metrics for Semantic and Goal-Oriented Communication

2023

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Semantic communication (SemCom) aims to convey the meaning behind a transmitted message by transmitting only semantically-relevant information. This semantic-centric design helps to minimize power usage, bandwidth consumption, and transmission delay. SemCom and goal-oriented SemCom (or effectiveness-level SemCom) are therefore promising enablers of 6G and developing rapidly. Despite the surge in their swift development, the design, analysis, optimization, and realization of robust and intelligent SemCom as well as goal-oriented SemCom are fraught with many fundamental challenges. One of the challenges is that the lack of unified/universal metrics of SemCom and goal-oriented SemCom can stifle research progress on their respective algorithmic, theoretical, and implementation frontiers. Consequently, this survey paper documents the existing metrics -scattered in many references -of wireless SemCom, optical SemCom, quantum SemCom, and goal-oriented wireless SemCom. By doing so, this paper aims to inspire the design, analysis, and optimization of a wide variety of SemCom and goal-oriented SemCom systems. This article also stimulates the development of unified/universal performance assessment metrics of SemCom and goal-oriented SemCom, as the existing metrics are purely statistical and hardly applicable to reasoning-type tasks that constitute the heart of 6G and beyond.

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“…These communications leverage the increasing data supply from multiple users and over multiple networks using different learning techniques. There are various technologies which make use of DL like self‐organizing and DL network technology and signal estimation and detection technology which are primarily deployed on DL framework 19,62,63 …”

Section: Abridgement Of Developments In 6g Environmentmentioning

confidence: 99%

Leveraging AI‐enabled 6G‐driven IoT for sustainable smart cities

Gera,

Raghuvanshi,

Rawlley

et al. 2023

Int J Communication

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SummaryMany scholastic researches have begun around the globe about the competitive technological interventions like 5G communication networks and its challenges. The incipient technology of 6G networks has emerged to facilitate ultrareliable and low‐latency applications for sustainable smart cities which are infeasible with the existing 4G/5G standards. Therefore, the advanced technologies like machine learning (ML), block chain, and Internet of Things (IoT) utilizing 6G network are leveraged to develop cost‐efficient mechanisms to address the issues of excess communication overhead in the present state of the art. Initially, the authors discussed the key vision of 6G communication technologies, its core technologies (such as visible light communication [VLC] and THz), and the existing issues with the existing network generations (such as 5G and 4G). A detailed analysis of benefits, challenges, and applications of blockchain‐enabled IoT devices with application verticals like Smart city, smart factory plus, automation, and XR that form the key highlights for 6G wireless communication network is also presented. In addition, the key applications and latest research of artificial intelligence (AI) in 6G are discussed facilitating the dynamic spectrum allocation mechanism and mobile edge computing. Lastly, an in‐depth study of the existing open issues and challenges in green 6G communication network technology, as well as review of solutions and potential research recommendations are also presented.

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A Survey on Intelligent Reflecting Surfaces: Wireless Communication Perspective

Cited by 6 publications

References 0 publications

Constrained RIS Phase Profile Optimization and Time Sharing for Near-field Localization

Constrained RIS Phase Profile Optimization and Time Sharing for Near-field Localization

Making Sense of Meaning: A Survey on Metrics for Semantic and Goal-Oriented Communication

Leveraging AI‐enabled 6G‐driven IoT for sustainable smart cities

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