Channel Estimation for 6G V2X Hybrid Systems Using Multi-Vehicular Learning

Mizmizi, Marouan; Tagliaferri, Dario; Badini, Damiano; Mazzucco, Christian; Spagnolini, Umberto

doi:10.1109/access.2021.3095121

Cited by 20 publications

(9 citation statements)

References 64 publications

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“…The database is queried by means of the knowledge of VE's position within the cell, which is continuously updated. A similar approach is also proposed in [18] and [19], where the beam selection relies on modal analysis based on the spatial invariance of spatio-temporal Vehicle-to-Infrastructure (V2I) channel modes, computed by exploiting recurrent vehicle passages over the same location in space. The list of these modes is associated with an optimal BS-VE beam pair, to be again queried according to VE's position.…”

Section: Sensor-assisted Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Localizing the Vehicle's Antenna: an Open Problem in 6G Network Sensing

Linsalata¹,

Tagliaferri²,

Rinaldi³

et al. 2022

Preprint

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Millimeter Waves (mmW) and sub-THz frequencies are the candidate bands for the upcoming Sixth Generation (6G) of communication systems. The use of collimated beams at mmW/sub-THz to compensate for the increased path and penetration loss arises the need for a seamless Beam Management (BM), especially for high mobility scenarios such as the Vehicle-to-Infrastructure (V2I) one. Recent research advances in Integrated Sensing and Communication (ISAC) indicate that equipping the network infrastructure, e.g., the Base Station (BS), with either a stand-alone radar or sensing capabilities using optimized waveforms, represents the killer technology to facilitate the BM. However, radio sensing should accurately localize the Vehicular Equipment (VE)'s antenna, which is not guaranteed in general. Differently, employing side information from VE's onboard positioning sensors might overcome this limitation at the price of an increased control signaling between VE and BS. This paper provides a pragmatic comparison between radar-assisted and position-assisted BM for mmW V2I systems in a typical urban scenario in terms of BM training time and beamforming gain loss due to a wrong BM decision. Simulation results, supported by experimental evidence, show that the point target approximation of a traveling VE does not hold in practical V2I scenarios with radar-equipped BS. Therefore, the true antenna position has a residual uncertainty that is independent of radar's resolution and implies 50 % more BM training time on average. Moreover, there is not a winning technology for BM between BS-mounted radar and VE's onboard positioning systems. They provide complementary performance, depending on position, although outperforming blind BM techniques compared to conventional blind methods. Thus, we propose to optimally combine radar and positioning information in a multi-technology integrated BM solution.

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Section: Sensor-assisted Methodsmentioning

confidence: 99%

“…The propagation is over a block-faded spatially-sparse MIMO channel H ∈ C NVE×NBS , that at mmW/sub-THz bands can be modelled as the sum of P paths as [19]…”

Section: System and Channel Modelmentioning

confidence: 99%

Localizing the Vehicle's Antenna: an Open Problem in 6G Network Sensing

Linsalata¹,

Tagliaferri²,

Rinaldi³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Remark 1: Precoding and combining vectors, i.e., f d and (w d , w u ), are herein based on the perfect knowledge of channels H d (t) and H u (t) at both MU and SU side. Notice that channel estimation at the SU can be obtained through conventional approaches and shared with the MU through feedback [27].…”

Section: A Signal Modelmentioning

confidence: 99%

“…To ease the analytical interpretation while maintaining generality, we consider the MU to use precoding and combining vectors perfectly aligned with the SU. Thus, we have that f d and w u are given, e.g., estimated by conventional approaches [27]. The system model in (12) simplifies as:…”

Section: Temporal Modulationmentioning

confidence: 99%

Conformal Metasurfaces: A Novel Solution for Vehicular Communications

Mizmizi

Ayoubi

Tagliaferri

et al. 2023

IEEE Trans. Wireless Commun.

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Space-time modulated metasurfaces (STMMs) are a newly investigated technology for next 6G generation wireless communication networks. An STMM augments the spatial phase function with a time-varying one across the elements, allowing for the conveyance of information that possibly modulates the impinging signal. Hence, STMM represents an evolution of reconfigurable intelligent surfaces (RIS), which only design the spatial phase pattern. STMMs convey signals without a relevant increase in the energy budget, which is convenient for applications where energy is a strong constraint. This paper proposes a mathematical model for STMM-based wireless communication, that creates the basics for two potential STMM architectures. One has excellent design flexibility, whereas the other is more costeffective. The model describes STMM's distinguishing features, such as space-time coupling, and their impact on system performance. The proposed STMM model addresses the design criteria of a full-duplex system architecture, in which the temporal signal originating at the STMM generates a modulation overlapped with the incident one. The presented numerical results demonstrate the efficacy of the proposed model and its potential to revolutionize wireless communication.

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“…The increased carrier frequency of mmWave/sub-THz transmissions causes an increase in free-space path loss when compared to most existing wireless systems. A potential solution is to use Multiple Input Multiple Output (MIMO) systems, which can create links with the respectable Signal-to-Noise Ratio (SNR) by beamforming gain to compensate for path loss [12]. Massive MIMO was suggested in [13] as the technology for the upcoming generation of wireless systems, and it will be necessary to meet the increasing demand for mobile wireless systems.…”

Section: Introductionmentioning

confidence: 99%

6G ultra-high frequency propagation characteristics and radio channel modeling in dense urban environments

Avdiu,

Humar,

Volk

2024

Preprint

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The aim of Sixth Generation (6G) is to jointly satisfy the requirements of ultrahigh reliability, capacity, efficiency, and low latency, and deliver both customizable and sector-specific communications. To achieve such improved capabilities, 6G explores a plethora of new approaches, one of which is the possibility of extending the range of radio channel resources by exploiting ultra-high frequency bands in the millimeter wave range that have not been used thus far. This, however, represents a considerable challenge. The development of efficient high-frequency radio technologies requires accurate channel modeling preceded by a meticulous comparative scientific analysis of path loss characteristics of the millimeter wave frequency bands. This paper investigates propagation characteristics based on simulations of the 100 GHz ultra-high frequency band in a dense urban 6G environment. A radio channel performance evaluation for the selected frequency band was completed in a simulated environment using NYUSIM toolset. A range of propagation parameters were characterized for a selection of line-of-sight and non-line-of-sight scenarios, including path loss, received power, and path loss exponent. The results show that utilization of the selected operating frequency in 6G is feasible but future research work is challenged with urban macro-cell deployments in indoor environments.

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Channel Estimation for 6G V2X Hybrid Systems Using Multi-Vehicular Learning

Cited by 20 publications

References 64 publications

Localizing the Vehicle's Antenna: an Open Problem in 6G Network Sensing

Localizing the Vehicle's Antenna: an Open Problem in 6G Network Sensing

Conformal Metasurfaces: A Novel Solution for Vehicular Communications

6G ultra-high frequency propagation characteristics and radio channel modeling in dense urban environments

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