Optimized Wireless Channel Characterization in Large Complex Environments by Hybrid Ray Launching-Collaborative Filtering Approach

Casino, Fran; Azpilicueta, Leyre; López-Iturri, Peio; Aguirre, Erik; Falcone, Francisco; Solanas, Agustí

doi:10.1109/lawp.2016.2604021

Cited by 48 publications

(32 citation statements)

References 6 publications

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“…Therefore, the RSSI predictions using RT are more accurate than MW. Some previous studies on ray-tracing propagation models have succeeded in obtaining results of MAE ranging from 3 to 8.52 [64][65][66][67]. The results of this study showed an average MAE of 2.9-A much better result than the results of the above studies.…”

Section: The Development Of An Automatic Radio Map Using Ray-tracingcontrasting

confidence: 42%

Accurate Indoor-Positioning Model Based on People Effect and Ray-Tracing Propagation

Firdaus

Ahmad

Sahibuddin

2019

Sensors

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Wireless local area networks (WLAN)-fingerprinting has been highlighted as the preferred technology for indoor positioning due to its accurate positioning and minimal infrastructure cost. However, its accuracy is highly influenced by obstacles that cause fluctuation in the signal strength. Many researchers have modeled static obstacles such as walls and ceilings, but few studies have modeled the people’s presence effect (PPE), although the human body has a great impact on signal strength. Therefore, PPE must be addressed to obtain accurate positioning results. Previous research has proposed a model to address this issue, but these studies only considered the direct path signal between the transmitter and the receiver whereas multipath effects such as reflection also have a significant influence on indoor signal propagation. This research proposes an accurate indoor-positioning model by considering people’s presence and multipath using ray-tracing, we call it (AIRY). This study proposed two solutions to construct AIRY: an automatic radio map using ray tracing and a constant of people’s effect for the received signal strength indicator (RSSI) adaptation. The proposed model was simulated using MATLAB software and tested at Level 3, Menara Razak, Universiti Teknologi Malaysia. A K-nearest-neighbor (KNN) algorithm was used to define a position. The initial accuracy was 2.04 m, which then reduced to 0.57 m after people’s presence and multipath effects were considered.

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Section: The Development Of An Automatic Radio Map Using Ray-tracingcontrasting

confidence: 42%

Accurate Indoor-Positioning Model Based on People Effect and Ray-Tracing Propagation

Firdaus

Ahmad

Sahibuddin

2019

Sensors

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“…The integration of Blockchain technology with IoT devices advances supply chain automation and creates an ecosystem consisting of immutable transactions that allow for improved audit. Supply chains exchange partners gain from the combined application of Blockchain and IoT through safe and auditable transactional data exchange within a massively heterogeneous and context-aware setting [108]. When connected on a network, smart IoT devices can consistently and autonomously push data into the Blockchain platform‚ creating an immutable and auditable transactional history which is useful for product traceability, recall, product provenance, and authentication purposes.…”

Section: Immutability and Auditingmentioning

confidence: 99%

Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management

2019

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Modern supply chains have evolved into highly complex value networks and turned into a vital source of competitive advantage. However, it has become increasingly challenging to verify the source of raw materials and maintain visibility of products and merchandise while they are moving through the value chain network. The application of the Internet of Things (IoT) can help companies to observe, track, and monitor products, activities, and processes within their respective value chain networks. Other applications of IoT include product monitoring to optimize operations in warehousing‚ manufacturing, and transportation. In combination with IoT, Blockchain technology can enable a broad range of different application scenarios to enhance value chain transparency and to increase B2B trust. When combined, IoT and Blockchain technology have the potential to increase the effectiveness and efficiency of modern supply chains. The contribution of this paper is twofold. First, we illustrate how the deployment of Blockchain technology in combination with IoT infrastructure can streamline and benefit modern supply chains and enhance value chain networks. Second, we derive six research propositions outlining how Blockchain technology can impact key features of the IoT (i.e., scalability, security, immutability and auditing, information flows, traceability and interoperability, quality) and thus lay the foundation for future research projects.

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“…Figure 2 shows a schematic view of the different modules of the current RL tool, which have been implemented ad-hoc to provide full interoperable capabilities within the code. The 3D-RL estimation engine can employ a hybrid simulation with a Neural Network (NN) ray interpolator module [ 46 ], 2D Diffusion Equation (DE) approach [ 47 ] or Collaborative Filtering (CF) database learning technique [ 48 ] to decrease the computational cost, with accurate results, depending on the dimensions of the considered scenario. Moreover, depending on the frequency under analysis, the microwave or mmWave analysis module will be used in the simulation.…”

Section: Wireless Channel Characterizationmentioning

confidence: 99%

Fifth-Generation (5G) mmWave Spatial Channel Characterization for Urban Environments’ System Analysis

Azpilicueta

López-Iturri

Zuñiga-Mejia

et al. 2020

Sensors

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In this work, the channel characterization in terms of large-scale propagation, small-scale propagation, statistical and interference analysis of Fifth-Generation (5G) Millimeter Wave (mmWave) bands for wireless networks for 28, 30 and 60 GHz is presented in both an outdoor urban complex scenario and an indoor scenario, in order to consider a multi-functional, large node-density 5G network operation. An in-house deterministic Three-Dimensional Ray-Launching (3D-RL) code has been used for that purpose, considering all the material properties of the obstacles within the scenario at the frequency under analysis, with the aid of purpose-specific implemented mmWave simulation modules. Different beamforming radiation patterns of the transmitter antenna have been considered, emulating a 5G system operation. Spatial interference analysis as well as time domain characteristics have been retrieved as a function of node location and configuration.

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Optimized Wireless Channel Characterization in Large Complex Environments by Hybrid Ray Launching-Collaborative Filtering Approach

Cited by 48 publications

References 6 publications

Accurate Indoor-Positioning Model Based on People Effect and Ray-Tracing Propagation

Accurate Indoor-Positioning Model Based on People Effect and Ray-Tracing Propagation

Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management

Fifth-Generation (5G) mmWave Spatial Channel Characterization for Urban Environments’ System Analysis

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