Spatial Characterization of 60 GHz Indoor Channels by Fast Gaussian Beam Tracking Method and Comparison with Measurements

Tahri, R.; Collonge, Sylvain; Zaharia, Gheorghe; Zein, Ghaïs El

doi:10.1109/vetecs.2006.1683363

Cited by 6 publications

(5 citation statements)

References 21 publications

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“…The work [147] demonstrates agreement of channels inside a sport pavilion based on ray-tracing and measurements with varying complexity of building data, showing that the most complex building data would be needed to predict channels from inside to outside of the pavilion. The work [148] introduces a beam-tracing method instead of the ray-tracing to reduce the number of path traces in the prediction. It is often reported that the predicted and measured PAS and PDP show differences [149]- [151], which in many cases are attributed to the lack of diffuse scattering in the ordinal raytracing [69].…”

Section: Site-specific Prediction Methodsmentioning

confidence: 99%

Channel Models and Beamforming at Millimeter-Wave Frequency Bands

Haneda

2015

IEICE Trans. Commun.

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SUMMARYMillimeter-wave (mm-wave) radio is attracting attention as one of the key enabling physical layer technologies for the fifthgeneration (5G) mobile access and backhaul. This paper aims at clarifying possible roles of mm-wave radio in the 5G development and performing a comprehensive literature survey on mm-wave radio channel modeling essential for the feasibility study. Emphasis in the literature survey is laid on grasping the typical behavior of mm-wave channels, identifying missing features in the presently available channel models for the design and evaluation of the mm-wave radio links within the 5G context, and exemplifying different channel modeling activities through analyses performed in the authors' group. As a key technological element of the mm-wave radios, reduced complexity beamforming is also addressed. Design criteria of the beamforming are developed based on the spatial multipath characteristics of measured indoor mm-wave channels.

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Section: Site-specific Prediction Methodsmentioning

confidence: 99%

Channel Models and Beamforming at Millimeter-Wave Frequency Bands

Haneda

2015

IEICE Trans. Commun.

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“…This image behaves as if it is emitting or receiving electromagnetic waves. Gaussian beam tracking [19] builds on the further improvements of image theory.…”

Section: B Ray Tracingmentioning

confidence: 99%

Quantum Algorithms in Electromagnetic Propagation Modelling for Telecommunications

Novak

2023

IEEE Access

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Modelling of electromagnetic wave propagation in telecommunications has evolved from empirical models to highly deterministic ray tracing and numerical methods. The extraordinary computational effort of these methods and their wave nature seem ideally suited to be approached by quantum algorithms. We first examine current progress by reviewing recent proposals in the field. We scrutinize potentially advantageous quantum architectures, ranging from mainstream gate-level computers and nearterm, mid-scale noisy architectures with limited capabilities, to adiabatic and annealing approaches that are already in commercial use. We analyze the weaknesses and strengths of recent proposals. Beyond the core algorithm, mechanisms to bridge the quantum and classical worlds are of particular interest. Extremely diverse algorithm specifications, from those based on Hamiltonian simulations and emulation of variational optimization to the unconstrained binary formulation, are compared with the use of pure gate-level circuits and known quantum subroutines. We show that the graph Laplacian, given its ability to integrate boundary conditions, is uniquely suited for quantum propagation modelling algorithms rooted in differential numerical methods. Quantum computers could overcome the temporal and spatial limitations of classical methods for larger computational domains and, to some extent, address the problems of dispersion and stability in finitedifference approximations. The ability to express the solution of a problem as an eigenvalue problem turns out to be an advantage in the quantum world, where eigenvalues and eigenvectors are inextricably intertwined with quantum mechanics. In this paper, we identify the most promising techniques and scenarios that hold the greatest potential.

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“…Path‐loss between the TX and RX over a distance d ( m ) at a given carrier frequency f (Hz) is given by References 77,78,79,81;

PL (d) [dB] = [PL (d_{o}) + 10 n_{p} \log_{10} (d / d_{o})] + ω_{σ},

where

PL (d_{o}) = 10 \log_{10} {((4 π d_{o}) / λ)}^{2},

…”

Section: State‐of‐the‐artmentioning

confidence: 99%

The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges

Khan

Naseem

Siraj

et al. 2021

Trans Emerging Tel Tech

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Next‐generation wireless communication networks, in particular, the densified 5G will bring many developments to the existing telecommunications industry. The key benefits will be the higher throughput and very low latency. In this context, the usage of unmanned aerial vehicle (UAV) is becoming a feasible option for deploying 5G services on demand. At the same time, the immense bandwidth potential of mmWave has strengthened its performance in radio communication. In this article, we provide a consolidated synthesis on the role of UAVs and mmWave in 5G, emphasis on recent developments and challenges. The review focuses on UAV relay architectures, identifies the relevant problems and limitations in the deployment of UAVs using mmWave in both access and backhaul links simultaneously. There is a critical analysis of the optimum placement of the UAVs as a relay with a focus on the mmWave band. The distinctive rich characteristics of the mmWave propagation and scattering are presented. We also synthesis mmWave path loss models. Then, the scope of artificial intelligence and machine learning techniques as an efficient solution for combating the dynamic and complex nature of UAV‐based cellular communication networks are discussed. In the end, security and privacy issues in UAV‐based cellular network are spotlighted. It is believed that the literature discussed, and the findings reached in this article are of significant importance to researchers, application engineers and decision‐makers in the designing and deployment of UAV‐supported 5G network.

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Spatial Characterization of 60 GHz Indoor Channels by Fast Gaussian Beam Tracking Method and Comparison with Measurements

Cited by 6 publications

References 21 publications

Channel Models and Beamforming at Millimeter-Wave Frequency Bands

Channel Models and Beamforming at Millimeter-Wave Frequency Bands

Quantum Algorithms in Electromagnetic Propagation Modelling for Telecommunications

The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges

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