Pub Date : 2022-07-20DOI: 10.1109/CSNDSP54353.2022.9907898
A. Cartaxo, T. Alves, J. Rebola
An overview of some of our results on the intercore crosstalk (ICXT) induced in weakly-coupled multicore fiber (WCMCF) systems is presented. The random evolution of the ICXT over time observed experimentally in WC-MCFs is characterized and the correlation between the ICXT field components induced by multiple interfering cores is investigated. The impact of the ICXT on the outage probability of on-off keying direct-detection WC-MCF systems, with |skew×bitrate|$ll$1 and | skewxbit rate |$gg$1, is assessed as well. It is shown that the ICXT power induced by multiple interfering cores is adequately modelled by a $chi^{2}$ distribution with four degrees of freedom. This means that the ICXT Gaussian field components are uncorrelated or weakly correlated. The measurements of the system performance show that, for the same outage probability, systems with | skewxbit rate $|gg 1$ present an additional ICXT tolerance of about 3 dB compared with systems with |skew×bitrate|$ll$1.
{"title":"ICXT Characterization in WC-MCFs and its Impact on the Performance of OOK-DD Systems","authors":"A. Cartaxo, T. Alves, J. Rebola","doi":"10.1109/CSNDSP54353.2022.9907898","DOIUrl":"https://doi.org/10.1109/CSNDSP54353.2022.9907898","url":null,"abstract":"An overview of some of our results on the intercore crosstalk (ICXT) induced in weakly-coupled multicore fiber (WCMCF) systems is presented. The random evolution of the ICXT over time observed experimentally in WC-MCFs is characterized and the correlation between the ICXT field components induced by multiple interfering cores is investigated. The impact of the ICXT on the outage probability of on-off keying direct-detection WC-MCF systems, with |skew×bitrate|$ll$1 and | skewxbit rate |$gg$1, is assessed as well. It is shown that the ICXT power induced by multiple interfering cores is adequately modelled by a $chi^{2}$ distribution with four degrees of freedom. This means that the ICXT Gaussian field components are uncorrelated or weakly correlated. The measurements of the system performance show that, for the same outage probability, systems with | skewxbit rate $|gg 1$ present an additional ICXT tolerance of about 3 dB compared with systems with |skew×bitrate|$ll$1.","PeriodicalId":288069,"journal":{"name":"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127762671","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 : 2022-07-20DOI: 10.1109/CSNDSP54353.2022.9907988
J. Kassam, D. Castanheira, A. Silva, R. Dinis, A. Gameiro
Cell-free massive multiple input multiple output (CFmMIMO) is one of the promising technologies for beyond 5G/6G wireless communications due to its advantages in overcoming the inter-cell interferences constraints in ultra-dense networks. In this paper, we propose a low complexity analog precoder with a centralized hybrid analog-digital multi-user equalizer for millimeter-wave (mmWave) CF mMIMO systems. In the transmitter, a low complexity analog precoder is applied based on the partial channel state information (CSI) knowledge, i.e., only the average angle of departure (AoD) information. While in the centralized hybrid receiver, the central unit (CU) handles all processing that requires access to the global CSI. Herein, the analog coefficients of the equalizer are obtained by minimizing the mean square error (MSE) between the transmit and receive signals using the weighted Frobenius norm as a metric, whereas an optimum linear MSE equalizer is used to get the digital part. We also compare the considered CF scenario with the small cells (SCs) based one for different hybrid schemes. The results show that the proposed precoder combined with the hybrid equalizer can achieve very close results to a fully digital counterpart. Moreover, the performance of the considered CF scenario is better than the SCs based one for all hybrid schemes.
{"title":"Centralized Hybrid Equalization for Cell Free mMIMO mmWave based Systems","authors":"J. Kassam, D. Castanheira, A. Silva, R. Dinis, A. Gameiro","doi":"10.1109/CSNDSP54353.2022.9907988","DOIUrl":"https://doi.org/10.1109/CSNDSP54353.2022.9907988","url":null,"abstract":"Cell-free massive multiple input multiple output (CFmMIMO) is one of the promising technologies for beyond 5G/6G wireless communications due to its advantages in overcoming the inter-cell interferences constraints in ultra-dense networks. In this paper, we propose a low complexity analog precoder with a centralized hybrid analog-digital multi-user equalizer for millimeter-wave (mmWave) CF mMIMO systems. In the transmitter, a low complexity analog precoder is applied based on the partial channel state information (CSI) knowledge, i.e., only the average angle of departure (AoD) information. While in the centralized hybrid receiver, the central unit (CU) handles all processing that requires access to the global CSI. Herein, the analog coefficients of the equalizer are obtained by minimizing the mean square error (MSE) between the transmit and receive signals using the weighted Frobenius norm as a metric, whereas an optimum linear MSE equalizer is used to get the digital part. We also compare the considered CF scenario with the small cells (SCs) based one for different hybrid schemes. The results show that the proposed precoder combined with the hybrid equalizer can achieve very close results to a fully digital counterpart. Moreover, the performance of the considered CF scenario is better than the SCs based one for all hybrid schemes.","PeriodicalId":288069,"journal":{"name":"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","volume":"413 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116181887","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 : 2022-07-20DOI: 10.1109/CSNDSP54353.2022.9907974
Marinos Vlasakis, I. Keramidi, I. Moscholios, P. Sarigiannidis, M. Logothetis
In this paper we study a mobility-aware call admission control algorithm in a mobile hotspot. More specifically, we consider a vehicle which has an access point of a fixed capacity and may alternate between stop and moving phases. In the stop phase, the vehicle services new and handover calls. To prioritize handover calls a probabilistic bandwidth reservation (BR) policy is considered where a fraction of the capacity is reserved for handover calls. Based on this policy, new calls may enter the reservation space with a predefined probability. In addition, handover calls have the option to wait in a queue of finite size if there are no available resources at the time of their arrival. In the moving phase, the vehicle services only new calls under the classical complete sharing policy. In both phases, calls arrive according to a Poisson process, require a single bandwidth unit for their acceptance in the system and have an exponentially distributed service time. To analytically determine the various performance measures such as call blocking probabilities an efficient iterative algorithm is proposed.
{"title":"Call Admission Control under a Probabilistic Bandwidth Reservation Policy and Handover Queueing in Mobile Hotspots","authors":"Marinos Vlasakis, I. Keramidi, I. Moscholios, P. Sarigiannidis, M. Logothetis","doi":"10.1109/CSNDSP54353.2022.9907974","DOIUrl":"https://doi.org/10.1109/CSNDSP54353.2022.9907974","url":null,"abstract":"In this paper we study a mobility-aware call admission control algorithm in a mobile hotspot. More specifically, we consider a vehicle which has an access point of a fixed capacity and may alternate between stop and moving phases. In the stop phase, the vehicle services new and handover calls. To prioritize handover calls a probabilistic bandwidth reservation (BR) policy is considered where a fraction of the capacity is reserved for handover calls. Based on this policy, new calls may enter the reservation space with a predefined probability. In addition, handover calls have the option to wait in a queue of finite size if there are no available resources at the time of their arrival. In the moving phase, the vehicle services only new calls under the classical complete sharing policy. In both phases, calls arrive according to a Poisson process, require a single bandwidth unit for their acceptance in the system and have an exponentially distributed service time. To analytically determine the various performance measures such as call blocking probabilities an efficient iterative algorithm is proposed.","PeriodicalId":288069,"journal":{"name":"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","volume":"325 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116437634","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 : 2022-07-20DOI: 10.1109/CSNDSP54353.2022.9908022
Katerina Mitropoulou, P. Kokkinos, P. Soumplis, Emmanouel A. Varvarigos
Edge and cloud computing infrastructures consist of multiple resources that may belong to different providers and are utilized in a shared manner by distributed applications for computing and storage purposes. Detecting events that affect the efficient operation of such infrastructures is a challenge and absolutely necessary for providing high quality cloud-edge services. In this work, we model cloud-edge infrastructures using knowledge graphs and use graph embeddings to transform the graphs into vectors. Then, traditional data-driven machine learning algorithms are used in order to detect anomaly events that relate to the infrastructure usage.
{"title":"Detect Resource Related Events in a Cloud-Edge Infrastructure using Knowledge Graph Embeddings and Machine Learning","authors":"Katerina Mitropoulou, P. Kokkinos, P. Soumplis, Emmanouel A. Varvarigos","doi":"10.1109/CSNDSP54353.2022.9908022","DOIUrl":"https://doi.org/10.1109/CSNDSP54353.2022.9908022","url":null,"abstract":"Edge and cloud computing infrastructures consist of multiple resources that may belong to different providers and are utilized in a shared manner by distributed applications for computing and storage purposes. Detecting events that affect the efficient operation of such infrastructures is a challenge and absolutely necessary for providing high quality cloud-edge services. In this work, we model cloud-edge infrastructures using knowledge graphs and use graph embeddings to transform the graphs into vectors. Then, traditional data-driven machine learning algorithms are used in order to detect anomaly events that relate to the infrastructure usage.","PeriodicalId":288069,"journal":{"name":"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125974397","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 : 2022-07-20DOI: 10.1109/CSNDSP54353.2022.9907947
Pedro Venda, J. Rebola, L. Cancela
In a network scenario, wavelength division-multiplexing channels are added and dropped leading to fluctuations on the network traffic loads along the optical path. In this work, a comparison between the optical signal-to-noise ratio (OSNR) predictions of the recently proposed closed-form generalized Gaussian noise (GGN) model and a closed-form Gaussian noise (GN) model that does not take into account the stimulated Raman scattering (SRS) is performed, for different network traffic loads and spectral occupancy over the entire C+L band. In all results obtained, the maximum difference between the OSNR predictions of GN (without SRS) and GGN models closed forms is below 0.7 dB at optimum OSNR and maximum C+L band occupancy, indicating that the GN-model can also be used in C+L band transmission. For channel launch powers higher than the optimum, the OSNR differences increase up to 3 dB, being the GN-model (without SRS) unsuitable to assess the network performance in such situations.
{"title":"Impact of Traffic Load and Spectral Occupancy on Gaussian Noise Models Performance for Multiband Networks","authors":"Pedro Venda, J. Rebola, L. Cancela","doi":"10.1109/CSNDSP54353.2022.9907947","DOIUrl":"https://doi.org/10.1109/CSNDSP54353.2022.9907947","url":null,"abstract":"In a network scenario, wavelength division-multiplexing channels are added and dropped leading to fluctuations on the network traffic loads along the optical path. In this work, a comparison between the optical signal-to-noise ratio (OSNR) predictions of the recently proposed closed-form generalized Gaussian noise (GGN) model and a closed-form Gaussian noise (GN) model that does not take into account the stimulated Raman scattering (SRS) is performed, for different network traffic loads and spectral occupancy over the entire C+L band. In all results obtained, the maximum difference between the OSNR predictions of GN (without SRS) and GGN models closed forms is below 0.7 dB at optimum OSNR and maximum C+L band occupancy, indicating that the GN-model can also be used in C+L band transmission. For channel launch powers higher than the optimum, the OSNR differences increase up to 3 dB, being the GN-model (without SRS) unsuitable to assess the network performance in such situations.","PeriodicalId":288069,"journal":{"name":"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128085050","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 : 2022-07-20DOI: 10.1109/CSNDSP54353.2022.9907977
Georgios Fevgas, T. Lagkas, V. Argyriou, P. Sarigiannidis
The purpose of energy-efficient Coverage Path Planning (CPP) methods is to minimize energy consumption using multiple Unmanned Aerial Vehicles (UAVs) of the coverage area. In multiple UAVs systems, the network configuration plays a crucial role in the network’s survivability and mission execution. However, the network’s survivability and stability depend on the network’s resources optimization. This paper presents a review of single or multiple UAV energy-efficient CPP methods. Furthermore, we discuss the network configurations of multiple UAVs systems. Likewise, we aim to present networks’ energy optimization approaches and directions for future research.
{"title":"UAV Energy Awareness based on Network Communication Optimization and Power Efficient Trajectories","authors":"Georgios Fevgas, T. Lagkas, V. Argyriou, P. Sarigiannidis","doi":"10.1109/CSNDSP54353.2022.9907977","DOIUrl":"https://doi.org/10.1109/CSNDSP54353.2022.9907977","url":null,"abstract":"The purpose of energy-efficient Coverage Path Planning (CPP) methods is to minimize energy consumption using multiple Unmanned Aerial Vehicles (UAVs) of the coverage area. In multiple UAVs systems, the network configuration plays a crucial role in the network’s survivability and mission execution. However, the network’s survivability and stability depend on the network’s resources optimization. This paper presents a review of single or multiple UAV energy-efficient CPP methods. Furthermore, we discuss the network configurations of multiple UAVs systems. Likewise, we aim to present networks’ energy optimization approaches and directions for future research.","PeriodicalId":288069,"journal":{"name":"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127445553","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 : 2022-07-20DOI: 10.1109/CSNDSP54353.2022.9908026
Liangliang Liu, S. Korposh, S. Morgan
This work demonstrates a fiber optic sensing probe functionalized with a single-film for measuring two parameters: gaseous ammonia and humidity. The sensor is constructed with a dye (Tetraphenylporphyrin tetrasulfonic acid hydrate) encapsulated into a porous silica film dip-coated on the distal end of optical fiber forming an extrinsic Fabry–Pérot cavity. This approach combines two popular optical measurement techniques such as white light interferometry and colourimetry measurement in a single fiber and performs spectroscopic analysis of the cavity for dual sensing. Experimental results demonstrate that multiple attenuation bands appearing in the reflection spectrum consist of a mixture of dye absorption and white light interference with spatially resolved bands, allowing sensing of the two-parameter based on colourimetry shift and refractive index change, respectively. The corresponding attenuation bands shift independently in response to ammonia (range: 0–18 ppm) and humidity (0–100%) with negligible crosstalk. The sensor exhibits ~2 nm wavelength shift for 0.7 ppm of gaseous ammonia and a sensitivity of 0.4 nm/% RH for humidity measurement.
{"title":"Dual parameter simultaneous sensing of ammonia and humidity utilising dye-encapsulated extrinsic Fabry–Pérot interferometer","authors":"Liangliang Liu, S. Korposh, S. Morgan","doi":"10.1109/CSNDSP54353.2022.9908026","DOIUrl":"https://doi.org/10.1109/CSNDSP54353.2022.9908026","url":null,"abstract":"This work demonstrates a fiber optic sensing probe functionalized with a single-film for measuring two parameters: gaseous ammonia and humidity. The sensor is constructed with a dye (Tetraphenylporphyrin tetrasulfonic acid hydrate) encapsulated into a porous silica film dip-coated on the distal end of optical fiber forming an extrinsic Fabry–Pérot cavity. This approach combines two popular optical measurement techniques such as white light interferometry and colourimetry measurement in a single fiber and performs spectroscopic analysis of the cavity for dual sensing. Experimental results demonstrate that multiple attenuation bands appearing in the reflection spectrum consist of a mixture of dye absorption and white light interference with spatially resolved bands, allowing sensing of the two-parameter based on colourimetry shift and refractive index change, respectively. The corresponding attenuation bands shift independently in response to ammonia (range: 0–18 ppm) and humidity (0–100%) with negligible crosstalk. The sensor exhibits ~2 nm wavelength shift for 0.7 ppm of gaseous ammonia and a sensitivity of 0.4 nm/% RH for humidity measurement.","PeriodicalId":288069,"journal":{"name":"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131761265","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 : 2022-07-20DOI: 10.1109/CSNDSP54353.2022.9908051
E. Ertunc, Othman Isam Younus, E. Ciaramella, Zabih Ghassemlooy
In this paper, we investigate a non-line-of-sight visible light communication system with the artificial neural network (ANN)-based equalizer that uses the machine learning algorithm Levenberg-Marquardt (LM). We investigate the system performance in terms of the bit error rate for 2-, 4-, 8-, 16-, 32-of pulse amplitude modulation (PAM) scheme using an ANN-based equalizer with 4, 5, 10, 17, and 20 hidden neurons that are optimized. The signal to noise ratio (SNR) penalties are below 10 dB at a bit error rate of $10^{-4}$, which is below the 7% forward error correction limit of $3.8 times 10^{-3}$. We also compare the LM algorithm over Broyden-Fletcher-Goldfarb-Shanno) quasi-newton, resilient backpropagation, and gradient descent backpropagation. LM offers the best result with a 7 dB SNR penalty at a BER of $2times 10^{-4}$. Lastly, a 1 Mbit/s 4-PAM lin with an ANN-based equalizer with 5 hidden neurons is demonstrated over transmission distances of 1, 3, and 6 m is performed, with the lowest SNR penalty of 0.5 dB for the 1 m link.
{"title":"Investigation on the use of Artificial Neural Network Equalizer in Indoor Visible Light Communication Systems","authors":"E. Ertunc, Othman Isam Younus, E. Ciaramella, Zabih Ghassemlooy","doi":"10.1109/CSNDSP54353.2022.9908051","DOIUrl":"https://doi.org/10.1109/CSNDSP54353.2022.9908051","url":null,"abstract":"In this paper, we investigate a non-line-of-sight visible light communication system with the artificial neural network (ANN)-based equalizer that uses the machine learning algorithm Levenberg-Marquardt (LM). We investigate the system performance in terms of the bit error rate for 2-, 4-, 8-, 16-, 32-of pulse amplitude modulation (PAM) scheme using an ANN-based equalizer with 4, 5, 10, 17, and 20 hidden neurons that are optimized. The signal to noise ratio (SNR) penalties are below 10 dB at a bit error rate of $10^{-4}$, which is below the 7% forward error correction limit of $3.8 times 10^{-3}$. We also compare the LM algorithm over Broyden-Fletcher-Goldfarb-Shanno) quasi-newton, resilient backpropagation, and gradient descent backpropagation. LM offers the best result with a 7 dB SNR penalty at a BER of $2times 10^{-4}$. Lastly, a 1 Mbit/s 4-PAM lin with an ANN-based equalizer with 5 hidden neurons is demonstrated over transmission distances of 1, 3, and 6 m is performed, with the lowest SNR penalty of 0.5 dB for the 1 m link.","PeriodicalId":288069,"journal":{"name":"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131980833","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 : 2022-07-20DOI: 10.1109/CSNDSP54353.2022.9908035
Sofia Esteves, J. Rebola, Pedro Santana
Four-level pulse amplitude modulation (PAM4) signals transmission in short-haul intensity modulation-direct detection datacenters connections supported by homogeneous weakly-coupled multicore fibers is seen as a promising technology to meet the future challenge of providing enough bandwidth and achieve high data capacity in datacenter links. However, in multicore fibers, inter-core crosstalk (ICXT) limits significantly the performance of such short-reach connections by causing large bit error rate (BER) fluctuations. In this work, a convolutional neural network (CNN) is proposed for eye-pattern analysis and BER prediction in PAM4 inter-datacenter optical connections impaired by ICXT, with the aim of optical performance monitoring. The performance of the CNN is assessed by estimation of the root mean square error (RMSE) using a synthetic dataset created with Monte Carlo simulation. Considering PAM4 interdatacenter connections with one interfering core and for different skew-symbol rate products, extinction ratios and crosstalk levels, the obtained results show that the implemented CNN is able to predict the BER without surpassing a RMSE limit of 0.1.
{"title":"Deep learning for BER prediction in optical connections impaired by inter-core crosstalk","authors":"Sofia Esteves, J. Rebola, Pedro Santana","doi":"10.1109/CSNDSP54353.2022.9908035","DOIUrl":"https://doi.org/10.1109/CSNDSP54353.2022.9908035","url":null,"abstract":"Four-level pulse amplitude modulation (PAM4) signals transmission in short-haul intensity modulation-direct detection datacenters connections supported by homogeneous weakly-coupled multicore fibers is seen as a promising technology to meet the future challenge of providing enough bandwidth and achieve high data capacity in datacenter links. However, in multicore fibers, inter-core crosstalk (ICXT) limits significantly the performance of such short-reach connections by causing large bit error rate (BER) fluctuations. In this work, a convolutional neural network (CNN) is proposed for eye-pattern analysis and BER prediction in PAM4 inter-datacenter optical connections impaired by ICXT, with the aim of optical performance monitoring. The performance of the CNN is assessed by estimation of the root mean square error (RMSE) using a synthetic dataset created with Monte Carlo simulation. Considering PAM4 interdatacenter connections with one interfering core and for different skew-symbol rate products, extinction ratios and crosstalk levels, the obtained results show that the implemented CNN is able to predict the BER without surpassing a RMSE limit of 0.1.","PeriodicalId":288069,"journal":{"name":"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131198732","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 : 2022-07-20DOI: 10.1109/CSNDSP54353.2022.9908025
S. M. Kouhini, Ziyan Ma, C. Kottke, Sreelal Maravanchery Mana, R. Freund, V. Jungnickel
Localization in indoor scenarios is difficult based on radio technologies, due to fading and the dominant multipath propagation. Optical wireless technology also denoted as LiFi, propagates mostly via the line-of-sight. Therefore, it has the potential to provide the required centimeter accuracy for indoor Internet-of-Things applications. In this paper, we consider positioning as an extra service offered by the LiFi communication system. Our vision is to detect the required location of automatic guided vehicles, intelligent transport systems, and mobile assembly units in an industrial environment, by using the same hardware also used for wireless communication. Our proposal is based on time-of-flight measurements. We reuse the physical layer from the ITU-T recommendation G.9991 for LiFi for ranging and subsequent trilateration. In this paper, we have further developed this approach towards continuous object tracking and evaluated the accuracy of the 3D position detection in an indoor environment. We observe that the results depend critically on the layout of the LiFi cell. Moreover, we demonstrate that the time-of-flight technique allows object tracking at a speed of 1 measurement / second with an average accuracy of 3 cm in each dimension. The proposed scheme is promising for future real-time implementation and has a high potential for future Internet-of-Things applications.
{"title":"Object Tracking in an Indoor Scenario: Potential for Centimeter Accuracy with LiFi","authors":"S. M. Kouhini, Ziyan Ma, C. Kottke, Sreelal Maravanchery Mana, R. Freund, V. Jungnickel","doi":"10.1109/CSNDSP54353.2022.9908025","DOIUrl":"https://doi.org/10.1109/CSNDSP54353.2022.9908025","url":null,"abstract":"Localization in indoor scenarios is difficult based on radio technologies, due to fading and the dominant multipath propagation. Optical wireless technology also denoted as LiFi, propagates mostly via the line-of-sight. Therefore, it has the potential to provide the required centimeter accuracy for indoor Internet-of-Things applications. In this paper, we consider positioning as an extra service offered by the LiFi communication system. Our vision is to detect the required location of automatic guided vehicles, intelligent transport systems, and mobile assembly units in an industrial environment, by using the same hardware also used for wireless communication. Our proposal is based on time-of-flight measurements. We reuse the physical layer from the ITU-T recommendation G.9991 for LiFi for ranging and subsequent trilateration. In this paper, we have further developed this approach towards continuous object tracking and evaluated the accuracy of the 3D position detection in an indoor environment. We observe that the results depend critically on the layout of the LiFi cell. Moreover, we demonstrate that the time-of-flight technique allows object tracking at a speed of 1 measurement / second with an average accuracy of 3 cm in each dimension. The proposed scheme is promising for future real-time implementation and has a high potential for future Internet-of-Things applications.","PeriodicalId":288069,"journal":{"name":"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132526349","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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