Pub Date : 2022-06-01DOI: 10.1109/WoWMoM54355.2022.00085
Muhammad Awais, H. Pervaiz, M. Jamshed, Wenjuan Yu, Q. Ni
Non-orthogonal multiple access (NOMA) is a promising radio access technique that enables massive connectivity and increased spectral efficiency. The deployment of aerial base stations (ABSs) as a relay is also an optimistic goal that fairly serves a large number of internet of things (IoT) devices. On one side, ABS-assisted communication leverages effective communication services for secondary IoT devices in smart cities. On the other hand, NOMA allows several IoT devices to concurrently acquire the same frequency-time resource. To this end, weighted sum-rate (WSR) is an essential goal because it allows numerous trade-offs between user fairness and sum-rate efficiency. Therefore, this work aims to investigate the WSR for an integrated aerial terrestrial network subject to cellular power and delay constraints in downlink NOMA. Herein, a theoretical insight-based low-complexity iterative solution is provided for optimal power and blocklength allocation to achieve maximum sum-rate. For this purpose, the mixed-integer non-linear problem is formulated and a low-complexity near-optimal solution is proposed. Numerical results show that the proposed scheme achieves a near-optimal solution and outperforms baseline techniques, i.e., the performance gain of 5.18% over the legacy OMA system for NOMA with two IoT devices per subcarrier.
{"title":"Enhancing URLLC in Integrated Aerial Terrestrial Networks: Design Insights and Performance Trade-offs","authors":"Muhammad Awais, H. Pervaiz, M. Jamshed, Wenjuan Yu, Q. Ni","doi":"10.1109/WoWMoM54355.2022.00085","DOIUrl":"https://doi.org/10.1109/WoWMoM54355.2022.00085","url":null,"abstract":"Non-orthogonal multiple access (NOMA) is a promising radio access technique that enables massive connectivity and increased spectral efficiency. The deployment of aerial base stations (ABSs) as a relay is also an optimistic goal that fairly serves a large number of internet of things (IoT) devices. On one side, ABS-assisted communication leverages effective communication services for secondary IoT devices in smart cities. On the other hand, NOMA allows several IoT devices to concurrently acquire the same frequency-time resource. To this end, weighted sum-rate (WSR) is an essential goal because it allows numerous trade-offs between user fairness and sum-rate efficiency. Therefore, this work aims to investigate the WSR for an integrated aerial terrestrial network subject to cellular power and delay constraints in downlink NOMA. Herein, a theoretical insight-based low-complexity iterative solution is provided for optimal power and blocklength allocation to achieve maximum sum-rate. For this purpose, the mixed-integer non-linear problem is formulated and a low-complexity near-optimal solution is proposed. Numerical results show that the proposed scheme achieves a near-optimal solution and outperforms baseline techniques, i.e., the performance gain of 5.18% over the legacy OMA system for NOMA with two IoT devices per subcarrier.","PeriodicalId":275324,"journal":{"name":"2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"290 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116302277","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}
Wireless reprogramming is a significant yet challenging issue in the Internet of Things (IoT). Existing methods designed for wireless sensor networks (WSN) are inadequate for IoT scenarios and have exposed severe security vulnerabilities. To address this problem, we propose Software-Defined Function (SDF), a secure and wireless reprogramming architecture for IoT named SFIOT. The key is to implement a secure communication interface between the control layer and the infrastructure layer. To this end, a set of security protocols which ensure authentication and confidentiality are designed, and their security is proved theoretically and formally verified. In addition, the constrained capabilities of IoT devices are taken into consideration in our design. We have tested the performance of SDF through a set of experiments and presented a use case on a photovoltaic energy system. The evaluation results show that the proposed protocols can be implemented in real-world IoT applications.
{"title":"SFIOT: Software-Defined Function for the IoT","authors":"Nian Xue, Ji Zhang, Zhen Li, Xianbin Hong, Haijiang Tang, Xin Huang","doi":"10.1109/WoWMoM54355.2022.00018","DOIUrl":"https://doi.org/10.1109/WoWMoM54355.2022.00018","url":null,"abstract":"Wireless reprogramming is a significant yet challenging issue in the Internet of Things (IoT). Existing methods designed for wireless sensor networks (WSN) are inadequate for IoT scenarios and have exposed severe security vulnerabilities. To address this problem, we propose Software-Defined Function (SDF), a secure and wireless reprogramming architecture for IoT named SFIOT. The key is to implement a secure communication interface between the control layer and the infrastructure layer. To this end, a set of security protocols which ensure authentication and confidentiality are designed, and their security is proved theoretically and formally verified. In addition, the constrained capabilities of IoT devices are taken into consideration in our design. We have tested the performance of SDF through a set of experiments and presented a use case on a photovoltaic energy system. The evaluation results show that the proposed protocols can be implemented in real-world IoT applications.","PeriodicalId":275324,"journal":{"name":"2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116169332","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 : 2022-06-01DOI: 10.1109/WoWMoM54355.2022.00035
Francesco Barbarulo, C. Puliafito, A. Virdis, E. Mingozzi
Edge computing allows to run microservices in close proximity to end user devices. This proximity lets edge computing support emerging 5G application scenarios that need low latency and high bandwidth (e.g., augmented reality, autonomous vehicles). Given its interest, edge computing is fastly gaining momentum and is currently being standardised by the European Telecommunications Standards Institute (ETSI) as Multi-Access Edge Computing (MEC). Notwithstanding its strengths, edge computing is significantly challenged by device mobility, as this can reduce proximity to the edge microservice, putting edge computing benefits at risk. A way to solve this problem is to migrate the edge microservice across edge servers, to let it follow the application component running on the mobile device. Besides, if the microservice is stateful (i.e., it maintains a state associated to the user), its state needs to be migrated as well. Within ETSI MEC, this concept is expressed as stateful application relocation. The standard identifies three different high-level ways to transfer the application state. However, all of them assume that it is up to the application to actually relocate the state. In this work, we assume that applications at the edge run as containers, and we extend ETSI MEC to let it support stateful application relocation by leveraging container migration techniques. This approach allows to transfer the application state in a transparent way to the application itself. We implemented our solution and tested it over a small-scale edge computing testbed to extract initial results.
{"title":"Extending ETSI MEC Towards Stateful Application Relocation Based on Container Migration","authors":"Francesco Barbarulo, C. Puliafito, A. Virdis, E. Mingozzi","doi":"10.1109/WoWMoM54355.2022.00035","DOIUrl":"https://doi.org/10.1109/WoWMoM54355.2022.00035","url":null,"abstract":"Edge computing allows to run microservices in close proximity to end user devices. This proximity lets edge computing support emerging 5G application scenarios that need low latency and high bandwidth (e.g., augmented reality, autonomous vehicles). Given its interest, edge computing is fastly gaining momentum and is currently being standardised by the European Telecommunications Standards Institute (ETSI) as Multi-Access Edge Computing (MEC). Notwithstanding its strengths, edge computing is significantly challenged by device mobility, as this can reduce proximity to the edge microservice, putting edge computing benefits at risk. A way to solve this problem is to migrate the edge microservice across edge servers, to let it follow the application component running on the mobile device. Besides, if the microservice is stateful (i.e., it maintains a state associated to the user), its state needs to be migrated as well. Within ETSI MEC, this concept is expressed as stateful application relocation. The standard identifies three different high-level ways to transfer the application state. However, all of them assume that it is up to the application to actually relocate the state. In this work, we assume that applications at the edge run as containers, and we extend ETSI MEC to let it support stateful application relocation by leveraging container migration techniques. This approach allows to transfer the application state in a transparent way to the application itself. We implemented our solution and tested it over a small-scale edge computing testbed to extract initial results.","PeriodicalId":275324,"journal":{"name":"2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125788788","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 : 2022-06-01DOI: 10.1109/wowmom54355.2022.00099
{"title":"Message from the Workshop Chairs: SC2 2022","authors":"","doi":"10.1109/wowmom54355.2022.00099","DOIUrl":"https://doi.org/10.1109/wowmom54355.2022.00099","url":null,"abstract":"","PeriodicalId":275324,"journal":{"name":"2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128374770","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 : 2022-06-01DOI: 10.1109/WoWMoM54355.2022.00041
Olga Kondrateva, B. Scheuermann, S. Dietzel
Small satellites networks are characterized by intermittent connectivity and rare communication opportunities between satellites and ground stations. To overcome this problem, inter-satellite links can be used and predictability of satellite movements can be exploited to plan the communication in advance. Mathematical optimization techniques are typically applied to create such communication plans. However, the resulting optimization problems are often large and therefore problematic to solve. To handle them more efficiently, we propose a novel decomposition approach based on Benders decomposition. To the best of our knowledge, we are the first to apply Benders decomposition in the context of satellite networks. Our evaluation results show that our approach considerably outperforms the state-of-the-art solution.
{"title":"Scalable Flow Optimization for Small Satellite Networks using Benders Decomposition","authors":"Olga Kondrateva, B. Scheuermann, S. Dietzel","doi":"10.1109/WoWMoM54355.2022.00041","DOIUrl":"https://doi.org/10.1109/WoWMoM54355.2022.00041","url":null,"abstract":"Small satellites networks are characterized by intermittent connectivity and rare communication opportunities between satellites and ground stations. To overcome this problem, inter-satellite links can be used and predictability of satellite movements can be exploited to plan the communication in advance. Mathematical optimization techniques are typically applied to create such communication plans. However, the resulting optimization problems are often large and therefore problematic to solve. To handle them more efficiently, we propose a novel decomposition approach based on Benders decomposition. To the best of our knowledge, we are the first to apply Benders decomposition in the context of satellite networks. Our evaluation results show that our approach considerably outperforms the state-of-the-art solution.","PeriodicalId":275324,"journal":{"name":"2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132703647","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 : 2022-06-01DOI: 10.1109/WoWMoM54355.2022.00038
N. Grosheva, Hany Assasa, T. Ropitault, Pablo Jiménez Mateo, Joerg Widmer, N. Golmie
Millimeter-wave technology provides the necessary improvements in capacity and performance for the next generation of wireless networks. The new IEEE 802.11ay amendment extends IEEE 802.11ad to offer 100 Gbit/s connectivity in the unlicensed 60 GHz band through technical advancements such as Multiple-Input and Multiple-Output (MIMO), channel bonding and aggregation. Additionally, it offers improvements to the Beamforming Training (BFT) process in order to increase its efficiency and accuracy. One new technique defined by IEEE 802.11ay is Group Beamforming, which allows to simultaneously train all stations, and significantly reduces training overhead, especially in very dense networks. In this paper, we provide an implementation of IEEE 802.11ay in ns-3 and perform, to the best of our knowledge, the first detailed system-level evaluation of the performance of the novel IEEE 802.11ay protocol. We specifically study the performance of Group Beamforming and compare it against the legacy 802.11ad BFT. We explore how different BFT approaches scale in large networks, identify the possible problems and evaluate at how the BFT process influences the performance of the network overall. Our analysis shows that Group Beamforming can outperform the legacy approach, resulting in lower overhead and improved network performance. However, we also found that the Access Point (AP) training is quite vulnerable to interference in dense networks, introducing severe limitations to the performance, especially in large rooms where precise BFT is crucial to maintain the communication link. Therefore, we propose several improvements to Group Beamforming that improve performance and provide robust beamforming even in very dense scenarios.
{"title":"A Comprehensive Analysis and Performance Enhancements for the IEEE 802.11ay Group Beamforming Protocol","authors":"N. Grosheva, Hany Assasa, T. Ropitault, Pablo Jiménez Mateo, Joerg Widmer, N. Golmie","doi":"10.1109/WoWMoM54355.2022.00038","DOIUrl":"https://doi.org/10.1109/WoWMoM54355.2022.00038","url":null,"abstract":"Millimeter-wave technology provides the necessary improvements in capacity and performance for the next generation of wireless networks. The new IEEE 802.11ay amendment extends IEEE 802.11ad to offer 100 Gbit/s connectivity in the unlicensed 60 GHz band through technical advancements such as Multiple-Input and Multiple-Output (MIMO), channel bonding and aggregation. Additionally, it offers improvements to the Beamforming Training (BFT) process in order to increase its efficiency and accuracy. One new technique defined by IEEE 802.11ay is Group Beamforming, which allows to simultaneously train all stations, and significantly reduces training overhead, especially in very dense networks. In this paper, we provide an implementation of IEEE 802.11ay in ns-3 and perform, to the best of our knowledge, the first detailed system-level evaluation of the performance of the novel IEEE 802.11ay protocol. We specifically study the performance of Group Beamforming and compare it against the legacy 802.11ad BFT. We explore how different BFT approaches scale in large networks, identify the possible problems and evaluate at how the BFT process influences the performance of the network overall. Our analysis shows that Group Beamforming can outperform the legacy approach, resulting in lower overhead and improved network performance. However, we also found that the Access Point (AP) training is quite vulnerable to interference in dense networks, introducing severe limitations to the performance, especially in large rooms where precise BFT is crucial to maintain the communication link. Therefore, we propose several improvements to Group Beamforming that improve performance and provide robust beamforming even in very dense scenarios.","PeriodicalId":275324,"journal":{"name":"2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"316 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131809383","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}
The millimeter wave technology which provides the throughput of multi-gigabit per second is one of the key technologies for 5G/B5G communications. However, an optimal interaction between the transport layer protocols and the highly fluctuating millimeter wave networks is extremely challenging and lacks in-depth exploration in actual networks. In this paper, we examine and discuss the performance of several TCP congestion control algorithms in the real 60 GHz millimeter wave environment, and inspect the improvement of TCP performance over mmWave hybrid networks by TCP proxies in single-flow and multi-flows scenarios. Our results reveal severe adaptation problems associated with these congestion control algorithms over millimeter wave networks and the effectiveness of TCP proxies for the utilization of millimeter wave hybrid networks.
{"title":"A Measurement Study of TCP Performance over 60GHz mmWave Hybrid Networks","authors":"Wanghong Yang, Xu Zhou, Wenji Du, Jianan Sun, Yongmao Ren, Gaogang Xie","doi":"10.1109/WoWMoM54355.2022.00057","DOIUrl":"https://doi.org/10.1109/WoWMoM54355.2022.00057","url":null,"abstract":"The millimeter wave technology which provides the throughput of multi-gigabit per second is one of the key technologies for 5G/B5G communications. However, an optimal interaction between the transport layer protocols and the highly fluctuating millimeter wave networks is extremely challenging and lacks in-depth exploration in actual networks. In this paper, we examine and discuss the performance of several TCP congestion control algorithms in the real 60 GHz millimeter wave environment, and inspect the improvement of TCP performance over mmWave hybrid networks by TCP proxies in single-flow and multi-flows scenarios. Our results reveal severe adaptation problems associated with these congestion control algorithms over millimeter wave networks and the effectiveness of TCP proxies for the utilization of millimeter wave hybrid networks.","PeriodicalId":275324,"journal":{"name":"2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133338112","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 : 2022-06-01DOI: 10.1109/WoWMoM54355.2022.00074
Carles Sastre, J. Wubben, C. Calafate, Juan-Carlos Cano, P. Manzoni
In recent years, the adoption of unmanned aerial vehicles (UAVs) has widely spread to different sectors worldwide. Technological advances in this field have made it possible to coordinate the flight of these aircraft so as to conform a swarm. A UAV swarm is defined as a group of UAVs working collaboratively to carry out more complex missions or perform tasks more efficiently. Common applications of these swarms include rescue missions, precision agriculture, and border control, among others. However, there are still certain problems that prevent us from ensuring the success of their mission, especially as the number of drones in a swarm increases. In this paper, we specifically address the problem of a swarm take-off by optimizing the total time involved, while guaranteeing the safety of the UAVs during the take-off stage. To this end, we propose a new approach that combines a collision detection algorithm based on trajectory analysis with a batch generation mechanism that we use in order to determine the take-off sequence. Experiments show that our algorithm offers an efficient solution, managing to improve the performance of existing take-off techniques.
{"title":"Collision-free swarm take-off based on trajectory analysis and UAV grouping","authors":"Carles Sastre, J. Wubben, C. Calafate, Juan-Carlos Cano, P. Manzoni","doi":"10.1109/WoWMoM54355.2022.00074","DOIUrl":"https://doi.org/10.1109/WoWMoM54355.2022.00074","url":null,"abstract":"In recent years, the adoption of unmanned aerial vehicles (UAVs) has widely spread to different sectors worldwide. Technological advances in this field have made it possible to coordinate the flight of these aircraft so as to conform a swarm. A UAV swarm is defined as a group of UAVs working collaboratively to carry out more complex missions or perform tasks more efficiently. Common applications of these swarms include rescue missions, precision agriculture, and border control, among others. However, there are still certain problems that prevent us from ensuring the success of their mission, especially as the number of drones in a swarm increases. In this paper, we specifically address the problem of a swarm take-off by optimizing the total time involved, while guaranteeing the safety of the UAVs during the take-off stage. To this end, we propose a new approach that combines a collision detection algorithm based on trajectory analysis with a batch generation mechanism that we use in order to determine the take-off sequence. Experiments show that our algorithm offers an efficient solution, managing to improve the performance of existing take-off techniques.","PeriodicalId":275324,"journal":{"name":"2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133651220","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 : 2022-06-01DOI: 10.1109/WoWMoM54355.2022.00096
Maurizio Palmieri, C. Quadri, A. Fagiolini, G. P. Rossi, C. Bernardeschi
This paper presents an approach to create high fidelity Digital-Twin models for distributed multi-agent cyber-physical systems based on the combination of simulating components, generated from different modeling languages, each tailored for the specific domain of the subsystem. The approach specifically addresses the wireless communication domain, exploiting a Python module as a simulating component to evaluate the impact of network delay among the distributed elements of the system under analysis. A case study with a platoon of four vehicles following a leading car, all modeled in Simulink, is used to show the applicability of the approach, allowing the comparison between a Vehicle-to-Vehicle communication against a centralized multi-access edge computing paradigm.
{"title":"Co-simulated Digital Twin on the Network Edge: the case of platooning","authors":"Maurizio Palmieri, C. Quadri, A. Fagiolini, G. P. Rossi, C. Bernardeschi","doi":"10.1109/WoWMoM54355.2022.00096","DOIUrl":"https://doi.org/10.1109/WoWMoM54355.2022.00096","url":null,"abstract":"This paper presents an approach to create high fidelity Digital-Twin models for distributed multi-agent cyber-physical systems based on the combination of simulating components, generated from different modeling languages, each tailored for the specific domain of the subsystem. The approach specifically addresses the wireless communication domain, exploiting a Python module as a simulating component to evaluate the impact of network delay among the distributed elements of the system under analysis. A case study with a platoon of four vehicles following a leading car, all modeled in Simulink, is used to show the applicability of the approach, allowing the comparison between a Vehicle-to-Vehicle communication against a centralized multi-access edge computing paradigm.","PeriodicalId":275324,"journal":{"name":"2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116095580","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 : 2022-06-01DOI: 10.1109/WoWMoM54355.2022.00047
I. Landa, Guillermo Díaz, I. Sobrón, I. Eizmendi, M. Vélez
This study presents contributions on the detection of impulsive noise sources using OFDM-Wifi signals and Machine Learning models. The influence of impulsive noise sources on WiFi signals is used to obtain the features for supervised Machine learning models. A measurement campaign has been carried out at two indoor locations, using the Atheros CSI tool to obtain the channel state information. Feature extraction for impulsive noise detection has been performed by processing the amplitude of the channel state information of each subcarrier. These features have fed two supervised Machine Learning models, a Random Forest algorithm, and a higher level algorithm such as a Deep Neural Network. The results obtained indicate that Wifi-OFDM signals can be used for impulsive noise source recognition. The main contributions of this work focus on the extraction of suitable features for the identification of impulsive noise sources through machine learning models. The accuracy greater than 0.9 in source identification validates the proposed model, which serves as a precedent for future studies in this area.
{"title":"WIP: Impulsive Noise Source Recognition with OFDM-WiFi Signals Based on Channel State Information Using Machine Learning","authors":"I. Landa, Guillermo Díaz, I. Sobrón, I. Eizmendi, M. Vélez","doi":"10.1109/WoWMoM54355.2022.00047","DOIUrl":"https://doi.org/10.1109/WoWMoM54355.2022.00047","url":null,"abstract":"This study presents contributions on the detection of impulsive noise sources using OFDM-Wifi signals and Machine Learning models. The influence of impulsive noise sources on WiFi signals is used to obtain the features for supervised Machine learning models. A measurement campaign has been carried out at two indoor locations, using the Atheros CSI tool to obtain the channel state information. Feature extraction for impulsive noise detection has been performed by processing the amplitude of the channel state information of each subcarrier. These features have fed two supervised Machine Learning models, a Random Forest algorithm, and a higher level algorithm such as a Deep Neural Network. The results obtained indicate that Wifi-OFDM signals can be used for impulsive noise source recognition. The main contributions of this work focus on the extraction of suitable features for the identification of impulsive noise sources through machine learning models. The accuracy greater than 0.9 in source identification validates the proposed model, which serves as a precedent for future studies in this area.","PeriodicalId":275324,"journal":{"name":"2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116179474","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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