Pub Date : 2023-07-11DOI: 10.1109/ConTEL58387.2023.10199065
The 17th International Conference on Telecommunications – ConTEL 2023
第17届国际电信会议- ConTEL 2023
{"title":"The 17th International Conference on Telecommunications – ConTEL 2023","authors":"","doi":"10.1109/ConTEL58387.2023.10199065","DOIUrl":"https://doi.org/10.1109/ConTEL58387.2023.10199065","url":null,"abstract":"The 17th International Conference on Telecommunications – ConTEL 2023","PeriodicalId":311611,"journal":{"name":"2023 17th International Conference on Telecommunications (ConTEL)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130355323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-11DOI: 10.1109/ConTEL58387.2023.10198943
Abdulbasit M. A. Sabaawi, Mohammed R. Almasaoodi, Sara El Gaily, S. Imre
There are plenty of real-world applications that require finding extreme value in an unsorted database. This database can be enormously large, such that there is no available quantum computer or classical supercomputer that can execute the search process. We proposed a new unconstrained quantum genetic algorithm (QGA) in order to increase the probability of finding the global solution and escaping from local minima. This algorithm exploits the features provided by blind quantum computation (BQC), which holds the promise to handle this computation issue by delegating computation to quantum remote devices. Massive multiple-input multiple-output (MIMO) systems are used as a toy example for demonstrating the effectiveness of the developed quantum genetic method.
{"title":"Unconstrained Quantum Genetic Algorithm for Massive MIMO System","authors":"Abdulbasit M. A. Sabaawi, Mohammed R. Almasaoodi, Sara El Gaily, S. Imre","doi":"10.1109/ConTEL58387.2023.10198943","DOIUrl":"https://doi.org/10.1109/ConTEL58387.2023.10198943","url":null,"abstract":"There are plenty of real-world applications that require finding extreme value in an unsorted database. This database can be enormously large, such that there is no available quantum computer or classical supercomputer that can execute the search process. We proposed a new unconstrained quantum genetic algorithm (QGA) in order to increase the probability of finding the global solution and escaping from local minima. This algorithm exploits the features provided by blind quantum computation (BQC), which holds the promise to handle this computation issue by delegating computation to quantum remote devices. Massive multiple-input multiple-output (MIMO) systems are used as a toy example for demonstrating the effectiveness of the developed quantum genetic method.","PeriodicalId":311611,"journal":{"name":"2023 17th International Conference on Telecommunications (ConTEL)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133736352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Audiovisual telemeetings realized through the use of extended reality (XR) can provide remote users with an enhanced sense of immersion and presence, offering more natural and dynamic interaction techniques than conventional videoconferencing tools. However, the majority of existing solutions are inaccessible to the average consumer. Using a portable and affordable hardware setup and a state-of-the-art software solution (Holonet), we conducted a study (N=38) focused on investigating user preferences regarding user representation (avatar or video cutout) in the context of virtual (VR) and augmented (AR) reality. With results indicating that participants preferred avatars over video representation, and VR over AR, this paper highlights the importance of considering user preferences when choosing user representations and XR environments for XR telemeetings. Furthermore, we discuss user preferences for video representations without a visible head-mounted display (HMD), in anticipation of further advancements in HMD-removal software.
{"title":"Assessment of Varied User Representations and XR Environments in Consumer-Grade XR Telemeetings","authors":"Mirta Moslavac, Lea Brzica, Lucija Drozd, Neda Kušurin, Sara Vlahovic, Lea Skorin-Kapov","doi":"10.1109/ConTEL58387.2023.10199061","DOIUrl":"https://doi.org/10.1109/ConTEL58387.2023.10199061","url":null,"abstract":"Audiovisual telemeetings realized through the use of extended reality (XR) can provide remote users with an enhanced sense of immersion and presence, offering more natural and dynamic interaction techniques than conventional videoconferencing tools. However, the majority of existing solutions are inaccessible to the average consumer. Using a portable and affordable hardware setup and a state-of-the-art software solution (Holonet), we conducted a study (N=38) focused on investigating user preferences regarding user representation (avatar or video cutout) in the context of virtual (VR) and augmented (AR) reality. With results indicating that participants preferred avatars over video representation, and VR over AR, this paper highlights the importance of considering user preferences when choosing user representations and XR environments for XR telemeetings. Furthermore, we discuss user preferences for video representations without a visible head-mounted display (HMD), in anticipation of further advancements in HMD-removal software.","PeriodicalId":311611,"journal":{"name":"2023 17th International Conference on Telecommunications (ConTEL)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131862680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-11DOI: 10.1109/ConTEL58387.2023.10198947
Mohammad Mohammadi Erbati, Gregor Schiele
Network Function Virtualization (NFV) is a revolutionary technology that can make traditional network architectures more efficient and flexible by decoupling software from hardware. In recent years, the use of Ultra-Reliable Low Latency Communication (URLLC) applications such as driverless vehicles, tele-operated driving, remote surgery, virtual reality, and industrial automation has increased substantially. Communication Service Providers (CSPs) must meet the requirements of URLLC applications. Providing a network service with high reliability and low latency is extremely challenging, and the limited physical network resources available to CSPs increase the complexity. To enable URLLC in an NFV-enabled environment, we provide a set of novel heuristic algorithms for dynamic service function chaining that simultaneously optimizes reliability and latency without using backup techniques. We employ flow prioritization and provide an adjustable priority coefficient factor ($mu$) to reserve a specific amount of physical network resources (bandwidth, CPU, and memory) exclusively for the deployment of ultra-reliable low latency flows. Our proposed algorithms outperform existing methods in terms of end-to-end delay, reliability, bandwidth usage, and SFC acceptance rate, as demonstrated by the results.
网络功能虚拟化(Network Function Virtualization, NFV)是一项革命性的技术，它通过将软件与硬件分离，使传统的网络架构更加高效和灵活。近年来，超可靠低延迟通信(URLLC)应用的使用大幅增加，如无人驾驶汽车、远程操作驾驶、远程手术、虚拟现实和工业自动化。通信服务提供商(csp)必须满足URLLC应用的要求。提供高可靠性、低时延的网络服务是一项极具挑战性的工作，而csp有限的物理网络资源又增加了复杂性。为了在支持nfv的环境中启用URLLC，我们为动态服务功能链提供了一组新颖的启发式算法，可以在不使用备份技术的情况下同时优化可靠性和延迟。我们采用流优先级，并提供一个可调整的优先级系数因子($mu$)来预留一定数量的物理网络资源(带宽、CPU和内存)，专门用于部署超可靠的低延迟流。结果表明，我们提出的算法在端到端延迟、可靠性、带宽使用和SFC接受率方面优于现有方法。
{"title":"A novel dynamic service function chaining to enable Ultra-Reliable Low Latency Communication in NFV","authors":"Mohammad Mohammadi Erbati, Gregor Schiele","doi":"10.1109/ConTEL58387.2023.10198947","DOIUrl":"https://doi.org/10.1109/ConTEL58387.2023.10198947","url":null,"abstract":"Network Function Virtualization (NFV) is a revolutionary technology that can make traditional network architectures more efficient and flexible by decoupling software from hardware. In recent years, the use of Ultra-Reliable Low Latency Communication (URLLC) applications such as driverless vehicles, tele-operated driving, remote surgery, virtual reality, and industrial automation has increased substantially. Communication Service Providers (CSPs) must meet the requirements of URLLC applications. Providing a network service with high reliability and low latency is extremely challenging, and the limited physical network resources available to CSPs increase the complexity. To enable URLLC in an NFV-enabled environment, we provide a set of novel heuristic algorithms for dynamic service function chaining that simultaneously optimizes reliability and latency without using backup techniques. We employ flow prioritization and provide an adjustable priority coefficient factor ($mu$) to reserve a specific amount of physical network resources (bandwidth, CPU, and memory) exclusively for the deployment of ultra-reliable low latency flows. Our proposed algorithms outperform existing methods in terms of end-to-end delay, reliability, bandwidth usage, and SFC acceptance rate, as demonstrated by the results.","PeriodicalId":311611,"journal":{"name":"2023 17th International Conference on Telecommunications (ConTEL)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124430518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-11DOI: 10.1109/ConTEL58387.2023.10199013
Salsabil Adel, Raghda Samir, Irene Samy, T. Ismail
Wireless Sensor Networks (WSNs) playa crucial role in various fields but are highly susceptible to external attacks, making the development of secure data aggregation methods in WSNs imperative. To enhance the security of WSNs, this study introduces a Trust-Based Clustering and Dijkstra-Based Routing algorithm (TBC-DBR). The proposed algorithm aims to establish a secure and efficient data aggregation mechanism in WSNs. It begins by dividing the sensor nodes into clusters, creating a structured network architecture. Within each cluster, the members undergo a three-phase trust evaluation process: direct trust, indirect trust, and overall trust. These trust metrics enable the selection of the most trustworthy node as the cluster head, ensuring reliable data aggregation and routing. To evaluate the effectiveness of the proposed algorithm, extensive simulations are performed using MATLAB R2022a. The simulation framework enables a comprehensive performance analysis, comparing the proposed TBC-DBR algorithm with the well-known LEACH algorithm. The evaluation focuses on critical performance metrics such as energy consumption and packet rate delivery throughout the network's lifetime. The results obtained from the simulations demonstrate the superiority of the proposed TBC-DBR algorithm. It exhibits lower energy consumption compared to the LEACH algorithm, indicating improved energy efficiency in the network. Moreover, the proposed algorithm achieves a higher packet rate delivery, emphasizing its effectiveness in maintaining reliable and timely data transmission within the network.
{"title":"Integrated Trust-Clustering and Dijkstra Routing Algorithms for Energy-Efficient WSNs","authors":"Salsabil Adel, Raghda Samir, Irene Samy, T. Ismail","doi":"10.1109/ConTEL58387.2023.10199013","DOIUrl":"https://doi.org/10.1109/ConTEL58387.2023.10199013","url":null,"abstract":"Wireless Sensor Networks (WSNs) playa crucial role in various fields but are highly susceptible to external attacks, making the development of secure data aggregation methods in WSNs imperative. To enhance the security of WSNs, this study introduces a Trust-Based Clustering and Dijkstra-Based Routing algorithm (TBC-DBR). The proposed algorithm aims to establish a secure and efficient data aggregation mechanism in WSNs. It begins by dividing the sensor nodes into clusters, creating a structured network architecture. Within each cluster, the members undergo a three-phase trust evaluation process: direct trust, indirect trust, and overall trust. These trust metrics enable the selection of the most trustworthy node as the cluster head, ensuring reliable data aggregation and routing. To evaluate the effectiveness of the proposed algorithm, extensive simulations are performed using MATLAB R2022a. The simulation framework enables a comprehensive performance analysis, comparing the proposed TBC-DBR algorithm with the well-known LEACH algorithm. The evaluation focuses on critical performance metrics such as energy consumption and packet rate delivery throughout the network's lifetime. The results obtained from the simulations demonstrate the superiority of the proposed TBC-DBR algorithm. It exhibits lower energy consumption compared to the LEACH algorithm, indicating improved energy efficiency in the network. Moreover, the proposed algorithm achieves a higher packet rate delivery, emphasizing its effectiveness in maintaining reliable and timely data transmission within the network.","PeriodicalId":311611,"journal":{"name":"2023 17th International Conference on Telecommunications (ConTEL)","volume":"1997 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128783900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-11DOI: 10.1109/ConTEL58387.2023.10198978
Magdalena Simunec, Renato Soic
Natural language generation is one of the essential components in achieving spoken interaction between a human user and a computer system. In this paper, we describe the process of generating notifications in Croatian language by employing an approach that relies on sentence transformer models. The solution described here extracts the key information from raw system events available in scope of the IoT platform and uses them to construct user-friendly sentences. The use-case scenario we present in this paper is related to a smart home environment. In this scenario, the generated notifications are used to construct spoken notifications using a speech synthesis component.
{"title":"Smart Home Notifications in Croatian Language: A Transformer-Based Approach","authors":"Magdalena Simunec, Renato Soic","doi":"10.1109/ConTEL58387.2023.10198978","DOIUrl":"https://doi.org/10.1109/ConTEL58387.2023.10198978","url":null,"abstract":"Natural language generation is one of the essential components in achieving spoken interaction between a human user and a computer system. In this paper, we describe the process of generating notifications in Croatian language by employing an approach that relies on sentence transformer models. The solution described here extracts the key information from raw system events available in scope of the IoT platform and uses them to construct user-friendly sentences. The use-case scenario we present in this paper is related to a smart home environment. In this scenario, the generated notifications are used to construct spoken notifications using a speech synthesis component.","PeriodicalId":311611,"journal":{"name":"2023 17th International Conference on Telecommunications (ConTEL)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114564578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-11DOI: 10.1109/ConTEL58387.2023.10198933
Blaž Pongrac, D. Gleich
This paper presents a high-voltage pulse-based radar design and a deep-learning method for soil moisture estimation. This study aims to develop a pulse-based radar system that can detect changes in soil moisture content using a cross-hole approach. The system consists of a pulse generator based on a Marx generator with an LC filter, three transmitting antennas placed in a 12 m deep borehole, and three receiving antennas located in a separate borehole 100 m away from the transmitter. The receiver used a high-frequency data acquisition card to acquire signals at 3 Giga Bytes per second. At the same time, the borehole antennas were designed to operate in a wide frequency band to ensure signal propagation throughout the soil. For volumetric soil moisture estimation using time-sampled signals, this paper proposes a deep regression convolutional network that models changes in wave propagation between the transmitted and received signals. The training dataset comprises soil moisture measurements taken at three points between the transmitter and receiver and 25 meters apart to provide ground truth data. Radar data and soil moisture measurements were collected for 73 days between the two boreholes. In an additional experiment, water was poured into several specially prepared boreholes between transmitter and receiver antennas to acquire additional data for training, validation, and testing of convolutional neural networks. Experimental results showed that the proposed system could detect changes in volumetric soil moisture using Tx and Rx antennas.
{"title":"Remote monitoring system based on cross-hole GPR and deep learning","authors":"Blaž Pongrac, D. Gleich","doi":"10.1109/ConTEL58387.2023.10198933","DOIUrl":"https://doi.org/10.1109/ConTEL58387.2023.10198933","url":null,"abstract":"This paper presents a high-voltage pulse-based radar design and a deep-learning method for soil moisture estimation. This study aims to develop a pulse-based radar system that can detect changes in soil moisture content using a cross-hole approach. The system consists of a pulse generator based on a Marx generator with an LC filter, three transmitting antennas placed in a 12 m deep borehole, and three receiving antennas located in a separate borehole 100 m away from the transmitter. The receiver used a high-frequency data acquisition card to acquire signals at 3 Giga Bytes per second. At the same time, the borehole antennas were designed to operate in a wide frequency band to ensure signal propagation throughout the soil. For volumetric soil moisture estimation using time-sampled signals, this paper proposes a deep regression convolutional network that models changes in wave propagation between the transmitted and received signals. The training dataset comprises soil moisture measurements taken at three points between the transmitter and receiver and 25 meters apart to provide ground truth data. Radar data and soil moisture measurements were collected for 73 days between the two boreholes. In an additional experiment, water was poured into several specially prepared boreholes between transmitter and receiver antennas to acquire additional data for training, validation, and testing of convolutional neural networks. Experimental results showed that the proposed system could detect changes in volumetric soil moisture using Tx and Rx antennas.","PeriodicalId":311611,"journal":{"name":"2023 17th International Conference on Telecommunications (ConTEL)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122332575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-11DOI: 10.1109/ConTEL58387.2023.10199063
Pengfei Li, Xinlin Huang
In cellular vehicle-to-everything (C-V2X) Mode 4, the autonomous mode is based on spectrum sensing for vehicles selecting spectrum resources, however, the spectrum sensing process may be imprecise, leading to frequent packet collisions especially when vehicles are in the congested scenario with high speeds. In this paper, we propose a cooperative spectrum sensing approach based on multi-agent reinforcement learning (MARL) to improve the spectrum sensing accuracy. The proposed algorithm includes the sense channels selection procedure and the cooperative users selection procedure. Specifically, we imitate the process of vehicles selecting sense channels as Indian buffet process (IBP) to predict the channel selection probability, and establish the belief scheme of cooperative users based on the historical sensing results, then exploit deep Q-learning network (DQN) to select sense channels based on the channel selection probability and select cooperative users based on the belief. Simulation results show that the proposed algorithm can improve success sensing rate and reducing collision rate compared with other cooperative and non-cooperative methods.
{"title":"Cooperative Spectrum Sensing Approach in C-V2X based on Multi-Agent Reinforcement Learning","authors":"Pengfei Li, Xinlin Huang","doi":"10.1109/ConTEL58387.2023.10199063","DOIUrl":"https://doi.org/10.1109/ConTEL58387.2023.10199063","url":null,"abstract":"In cellular vehicle-to-everything (C-V2X) Mode 4, the autonomous mode is based on spectrum sensing for vehicles selecting spectrum resources, however, the spectrum sensing process may be imprecise, leading to frequent packet collisions especially when vehicles are in the congested scenario with high speeds. In this paper, we propose a cooperative spectrum sensing approach based on multi-agent reinforcement learning (MARL) to improve the spectrum sensing accuracy. The proposed algorithm includes the sense channels selection procedure and the cooperative users selection procedure. Specifically, we imitate the process of vehicles selecting sense channels as Indian buffet process (IBP) to predict the channel selection probability, and establish the belief scheme of cooperative users based on the historical sensing results, then exploit deep Q-learning network (DQN) to select sense channels based on the channel selection probability and select cooperative users based on the belief. Simulation results show that the proposed algorithm can improve success sensing rate and reducing collision rate compared with other cooperative and non-cooperative methods.","PeriodicalId":311611,"journal":{"name":"2023 17th International Conference on Telecommunications (ConTEL)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122361185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-11DOI: 10.1109/ConTEL58387.2023.10198948
G. Marinova, V. Guliashki, Manjola Zeneli
The Internet of Things (IoT) technology is widely implemented for the control and improvement of environmental conditions and energy efficiency. The paper proposes an IoT-based approach for increasing energy efficiency in the case study of the administrative buildings in the Port of Durres, Albania. The study is realized in cooperation with the port authorities who made available data on the energy consumption in the buildings. Various solutions with devices, sensor networks, and remote control of the energy flow, for monitoring and saving the consumption of electrical energy in the buildings, are proposed and assessed. The IoT technology optimizing energy consumption transforms the studied buildings into “smart ones”. The IoT solutions in the paper are based on a virtual model for the green transformation of the studied port buildings. An IoT-based plan to improve the building's energy efficiency is proposed. The necessary sensors for the building's monitoring are considered. A Buildings Energy Management System is proposed. The optimization methodology connected with the virtual building models is presented.
{"title":"IoT Approach for Improving the Energy Efficiency in the Durres Port Authority Buildings","authors":"G. Marinova, V. Guliashki, Manjola Zeneli","doi":"10.1109/ConTEL58387.2023.10198948","DOIUrl":"https://doi.org/10.1109/ConTEL58387.2023.10198948","url":null,"abstract":"The Internet of Things (IoT) technology is widely implemented for the control and improvement of environmental conditions and energy efficiency. The paper proposes an IoT-based approach for increasing energy efficiency in the case study of the administrative buildings in the Port of Durres, Albania. The study is realized in cooperation with the port authorities who made available data on the energy consumption in the buildings. Various solutions with devices, sensor networks, and remote control of the energy flow, for monitoring and saving the consumption of electrical energy in the buildings, are proposed and assessed. The IoT technology optimizing energy consumption transforms the studied buildings into “smart ones”. The IoT solutions in the paper are based on a virtual model for the green transformation of the studied port buildings. An IoT-based plan to improve the building's energy efficiency is proposed. The necessary sensors for the building's monitoring are considered. A Buildings Energy Management System is proposed. The optimization methodology connected with the virtual building models is presented.","PeriodicalId":311611,"journal":{"name":"2023 17th International Conference on Telecommunications (ConTEL)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121632163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-11DOI: 10.1109/ConTEL58387.2023.10198961
Lovro Boban, Lorenzo Catania, D. Allegra, M. Sužnjević
In this paper we evaluate an approach for increasing Quality of Experience for drone pilots. We look at the use case in which the drone is controlled in first-person view over an IP based network such as 5G. In case of congestion, the video sent by the drone needs to be encoded at a lower bitrate so as to avoid severe video artefacts and Quality of Experience degradation. We evaluate methods of how to maximize Quality of Experience for the drone pilots in degraded network conditions with low bandwidth. We evaluate the impact of Region of Interest coding and greyscale coding on subjective metrics of video quality. The testing is performed through a drone driving simulator and using commercial first-person view googles. Our findings, based on a sample size of (n = 24), indicate that ROI and greyscale coding have, in almost all cases, either no impact or a negative impact on perceived video quality of a drone pilot.
{"title":"Investigating the effect of Region of Interest coding on the QoE of FPV drone piloting under adverse network conditions","authors":"Lovro Boban, Lorenzo Catania, D. Allegra, M. Sužnjević","doi":"10.1109/ConTEL58387.2023.10198961","DOIUrl":"https://doi.org/10.1109/ConTEL58387.2023.10198961","url":null,"abstract":"In this paper we evaluate an approach for increasing Quality of Experience for drone pilots. We look at the use case in which the drone is controlled in first-person view over an IP based network such as 5G. In case of congestion, the video sent by the drone needs to be encoded at a lower bitrate so as to avoid severe video artefacts and Quality of Experience degradation. We evaluate methods of how to maximize Quality of Experience for the drone pilots in degraded network conditions with low bandwidth. We evaluate the impact of Region of Interest coding and greyscale coding on subjective metrics of video quality. The testing is performed through a drone driving simulator and using commercial first-person view googles. Our findings, based on a sample size of (n = 24), indicate that ROI and greyscale coding have, in almost all cases, either no impact or a negative impact on perceived video quality of a drone pilot.","PeriodicalId":311611,"journal":{"name":"2023 17th International Conference on Telecommunications (ConTEL)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122165789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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