Geometry-based modeling of wideband industrial indoor radio propagation channels

Ai, Yun; Hogstad, B.O.; Cheffena, Michael; Pätzold, Matthias

doi:10.1109/iecon.2015.7392769

Cited by 4 publications

(4 citation statements)

References 14 publications

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“…For the given PDP, the MPC decay follows an exponential relationship with delays, which translates into a linear decay when the received power is in the dB scale. This result is in agreement with the results discussed in the literature [60][61][62][63]. For the fitting, we used MATLAB curve fitting toolbox [64].…”

Section: Power Decaysupporting

confidence: 89%

Data-Driven Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational Networks

et al. 2022

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The successful rollout of fifth-generation (5G) networks requires a full understanding of the behavior of the propagation channel, taking into account the signal formats and the frequencies standardized by the Third Generation Partnership Project (3GPP). In the past, channel characterization for 5G has been addressed mainly based on the measurements performed on dedicated links in experimental setups. This paper presents a state-of-the-art contribution to the characterization of the outdoor-to-indoor radio channel in the 3.5 GHz band, based on experimental data for commercial, deployed 5G networks, collected during a large scale measurement campaign carried out in the city of Rome, Italy. The analysis presented in this work focuses on downlink, outdoor-to-indoor propagation for two operators adopting two different beamforming strategies, single wide-beam and multiple synchronization signal blocks (SSB) based beamforming; it is indeed the first contribution studying the impact of beamforming strategy in real 5G networks. The time and power-related channel characteristics, i.e., mean excess delay and Root Mean Square (RMS) delay spread, path loss, and K-factor are studied for the two operators in multiple measurement locations. The analysis of time and power-related parameters is supported and extended by a correlation analysis between each pair of parameters. The results show that beamforming strategy has a marked impact on propagation. A single wide-beam transmission leads, in fact, to lower RMS delay spread and lower mean excess delay compared to a multiple SSB-based transmission strategy. In addition, the single wide-beam transmission system is characterized by a smaller path loss and a higher K-factor, suggesting that the adoption of a multiple SSB-based transmission strategy may have a negative impact on downlink performance.

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Section: Power Decaysupporting

confidence: 89%

Data-Driven Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational Networks

et al. 2022

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“…Notwithstanding, ref. [31] derived an analytical expression of the pdf of the angle-of-arrival (AoA) and a geometry-based channel model determined analytical expressions of the probability density functions of channel parameters such as the AoA, time-of-arrival to model wide-band channel in industrial indoor environments [20].…”

Section: Introductionmentioning

confidence: 99%

Angular characteristics of multipath propagation in an indoor industrial environment

Bamba

Tanghe

Kamagaté

et al. 2021

IET Microwaves Antenna & Prop

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The characteristics of multipath components (MPCs) are addressed in an industrial environment at 1.3 GHz by means of measurements with a multidimensional channel sounder. The maximum likelihood estimator, RiMAX, is used to determine the MPCs parameters and takes into account the diffuse scattering. Both line-of-sight (LOS) and obstructed LOS (OLOS) scenarios have been considered, along with the four polarization states. We found that the environment is very rich in multipath, that is on average, about 120 (resp. 70) MPCs in LOS (resp. OLOS) scenario due to the presence of several metallic reflectors. The azimuthal angle implies clustering of the MPCs, and therefore, the estimated MPCs are grouped in clusters using the K-powers-means algorithm based on the multipath component distance. In general, one to four clusters are determined with three clusters occurring with the highest probability, regardless of the scenario. Next, the intra-cluster parameters have been determined, and we show that the root-mean-square (rms) delay spread and rms angular spread follow a gamma distribution, regardless of the polarization. The MPC characteristics agree with the results in the literature and can be valuable when deploying a wireless sensor network in industrial environments.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Recently, a considerable number of research works have been conducted on wireless communication technologies in order to incorporate internet of things (IoT) in production process. Compared with the traditional wired communication, the narrowband‐IoT (NB‐IoT) technology is a more flexible solution for its lower cost, deployment flexibility, and remote control ability (Ai et al, 2015). However, the NB‐IoT given in the 3GPP (Liberg et al, 2018) is limited by the relatively narrow bandwidth, which cannot satisfy the requirements of future IoT communication application scenarios where the lower‐latency and higher‐speed of data transmission rate are needed in order for Big‐data‐based Artificial Intelligent applications.…”

Section: Introductionmentioning

confidence: 99%

Measurement‐Based Experimental Statistical Modeling of Propagation Channel in Industrial IoT Scenario

Wang

Yin

et al. 2020

Radio Science

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This paper presents 3-4 and 38-40 GHz wideband channel characteristics for industrial internet-of-things (IIoT) scenario based on measurements. The channel measurement equipment applied in the measurements consists of a programmable vector network analyzer and necessary auxiliaries. An extensive amount of data in line-of-sight (LoS) and non-line-of-sight (NLoS) scenarios is collected with omnidirectional antennas in both transmitter and receiver ends. With the Space-Alternating Generalized Expectation-maximization (SAGE) algorithm, the multipath components (MPCs) of the received signals are extracted to calculate the channel model parameters, for example, channel gain coefficient, delay spread, and Ricean K factor. By studying the statistical characteristics of these parameters, a stochastic channel model in IIoT scenario is initially established and compared with the existing indoor channel models. Moreover, the distinctive characteristics of channel parameters in the millimeter wave band and sub-6 GHz band in the IIoT scenario are demonstrated. Plain Language Summary Usually, the industrial environments are complicated and variable, which makes the communications in factory more difficult than those in general indoor scenarios. Hence, more information about the characteristics of the radio propagation in industrial scenarios is needed. This work presents 3-4 and 38-40 GHz wideband channel characteristics for industrial internet-of-things (IIoT) scenarios based on measurements, which is helpful to the design of the communication systems and the installation of low-latency, high-speed, high-stability communication facilities on automation production equipment in industrial environments.

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Geometry-based modeling of wideband industrial indoor radio propagation channels

Cited by 4 publications

References 14 publications

Data-Driven Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational Networks

Data-Driven Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational Networks

Angular characteristics of multipath propagation in an indoor industrial environment

Measurement‐Based Experimental Statistical Modeling of Propagation Channel in Industrial IoT Scenario

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