IRS-aided Predictable High-Mobility Vehicular Communication with Doppler Effect Mitigation

Wang, Ke; Lam, Chan‐Tong; Ng, Benjamin K.

doi:10.1109/vtc2021-spring51267.2021.9448955

Cited by 22 publications

(26 citation statements)

References 11 publications

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“…[ 93 ] showed that the data rate between the BS and a mobile user can be improved even if the design of the IRS’s optimal phase shifts is dependent on limited feedback from the mobile user. An IRS with perfect channel state information (CSI) reduces positioning error bound and orientation error bound [ 94 ]. Moreover, when the direct path channel between the transceivers is characterized by a low rank matrix, through optimization an IRS can improve the rank of channel matrix and lead to significant capacity gains [ 95 ].…”

Section: Irs-aided Wireless Network Performance and Deploymentmentioning

confidence: 99%

Design and Application of Intelligent Reflecting Surface (IRS) for Beyond 5G Wireless Networks: A Review

Okogbaa

Ahmed

Khan

et al. 2022

Sensors

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The existing sub-6 GHz band is insufficient to support the bandwidth requirement of emerging data-rate-hungry applications and Internet of Things devices, requiring ultrareliable low latency communication (URLLC), thus making the migration to millimeter-wave (mmWave) bands inevitable. A notable disadvantage of a mmWave band is the significant losses suffered at higher frequencies that may not be overcome by novel optimization algorithms at the transmitter and receiver and thus result in a performance degradation. To address this, Intelligent Reflecting Surface (IRS) is a new technology capable of transforming the wireless channel from a highly probabilistic to a highly deterministic channel and as a result, overcome the significant losses experienced in the mmWave band. This paper aims to survey the design and applications of an IRS, a 2-dimensional (2D) passive metasurface with the ability to control the wireless propagation channel and thus achieve better spectral efficiency (SE) and energy efficiency (EE) to aid the fifth and beyond generation to deliver the required data rate to support current and emerging technologies. It is imperative that the future wireless technology evolves toward an intelligent software paradigm, and the IRS is expected to be a key enabler in achieving this task. This work provides a detailed survey of the IRS technology, limitations in the current research, and the related research opportunities and possible solutions.

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Section: Irs-aided Wireless Network Performance and Deploymentmentioning

confidence: 99%

Design and Application of Intelligent Reflecting Surface (IRS) for Beyond 5G Wireless Networks: A Review

Okogbaa

Ahmed

Khan

et al. 2022

Sensors

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“…In [69], a RIS-assisted high-mobility vehicular communication system was considered. The RIS is fixed between the roadside BS and high-mobility vehicle.…”

Section: B Doppler Effect and Multipath Fading Mitigationmentioning

confidence: 99%

“…Different from [69], a RIS-assisted high-mobility vehicular communication system was studied in [70], [71], where the RIS was mounted on the top of high-mobility vehicle. An efficient two-stage transmission protocol was proposed to achieve RIS channel estimation and refraction optimization for data transmission by exploiting the quasi-static channel between the high-mobility RIS and user as well as the LoS dominant channel between the BS and RIS.…”

Section: B Doppler Effect and Multipath Fading Mitigationmentioning

confidence: 99%

Reconfigurable Intelligent Surfaces: Channel Characterization and Modeling

et al. 2022

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Reconfigurable intelligent surfaces (RISs) are two dimensional (2D) metasurfaces which can intelligently manipulate electromagnetic waves by low-cost near passive reflecting elements. RIS is viewed as a potential key technology for the sixth generation (6G) wireless communication systems mainly due to its advantages in tuning wireless signals, thus smartly controlling propagation environments. In this paper, we aim at addressing channel characterization and modeling issues of RISassisted wireless communication systems. At first, the concept, principle, and potential applications of RIS are given. An overview of RIS based channel measurements and experiments is presented by classifying frequency bands, scenarios, system configurations, RIS constructions, experiment purposes, and channel observations. Then, RIS based channel characteristics are studied, including reflection and transmission, Doppler effect and multipath fading mitigation, channel reciprocity, channel hardening, rank improvement, far field and near field, etc. RIS based channel modeling works are investigated, including largescale path loss models and small-scale multipath fading models. At last, future research directions related to RIS-assisted channels are also discussed.Index Terms-6G wireless communications, reconfigurable intelligent surface (RIS), channel measurements, channel characteristics, channel modeling.

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“…A continuous-time model for RIS-aided satellite communication has been derived in [32], where the movement of the satellite has been taken into consideration in optimization of the RIS phase shifts. Similarly, [39] investigates RIS phase shift design to simultaneously minimize the delay and Doppler spread and maximize the SNR in RIS-aided high-mobility vehicular communications under predictable UE mobility. In [33], it has been shown that the multipath fading effect caused by UE movement can be mitigated in an RISaided scenario.…”

Section: Introductionmentioning

confidence: 99%

RIS-Enabled SISO Localization Under User Mobility and Spatial-Wideband Effects

Keykhosravi

Keskin

Popovski

et al. 2022

IEEE J. Sel. Top. Signal Process.

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Reconfigurable intelligent surface (RIS) is a promising technological enabler for the 6th generation (6G) of wireless systems with applications in localization and communication. In this paper, we consider the problem of positioning a singleantenna user in 3D space based on the received signal from a single-antenna base station and reflected signal from an RIS by taking into account the mobility of the user and spatialwideband (WB) effects. To do so, we first derive the spatial-WB channel model under the far-field assumption, for orthogonal frequency-division multiplexing signal transmission with the user having a constant velocity. We derive the Cramér Rao bounds to serve as a benchmark. Furthermore, we devise a low-complexity estimator that attains the bounds in high signal-to-noise ratios. Our estimator neglects the spatial-WB effects and deals with the user mobility by estimating the radial velocities and compensating for their effects in an iterative fashion. We show that the spatial-WB effects can degrade the localization accuracy for large RIS sizes and large signal bandwidths as the direction of arrival or departure deviate from the RIS normal. In particular, for a 64 × 64 RIS, the proposed estimator is resilient against the spatial-WB effects up to 140 MHz bandwidth. Regarding user mobility, our results suggest that the velocity of the user influences neither the bounds nor the accuracy of our estimator. Specifically, we observe that the state of the user with a high speed (42 m/s) can be estimated virtually with the same accuracy as a static user.

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IRS-aided Predictable High-Mobility Vehicular Communication with Doppler Effect Mitigation

Cited by 22 publications

References 11 publications

Design and Application of Intelligent Reflecting Surface (IRS) for Beyond 5G Wireless Networks: A Review

Design and Application of Intelligent Reflecting Surface (IRS) for Beyond 5G Wireless Networks: A Review

Reconfigurable Intelligent Surfaces: Channel Characterization and Modeling

RIS-Enabled SISO Localization Under User Mobility and Spatial-Wideband Effects

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