Pub Date : 2020-01-27DOI: 10.14209/sbrt.2019.1570558978
A. Oliveira, Marcus Dias, Isabela Trindade, A. Klautau
Millimeter waves is one of 5G networks strategies to achieve high bit rates. Measurement campaigns with these signals are difficult and require expensive equipment. In order to generate realistic data this paper refines a methodology for virtual measurements of 5G channels, which combines a simulation of urban mobility with a ray-tracing simulator. The urban mobility simulator is responsible for controlling mobility, positioning pedestrians and vehicles throughout each scene while the ray-tracing simulator is repeatedly invoked, simulating the interactions between receivers and transmitters. The orchestration among both simulators is done using a Python software. To check how the realism can influence the computational cost, it was made a numerical analyze between the number of faces and the simulation time.
{"title":"Ray-Tracing 5G Channels from Scenarios with Mobility Control of Vehicles and Pedestrians","authors":"A. Oliveira, Marcus Dias, Isabela Trindade, A. Klautau","doi":"10.14209/sbrt.2019.1570558978","DOIUrl":"https://doi.org/10.14209/sbrt.2019.1570558978","url":null,"abstract":"Millimeter waves is one of 5G networks strategies to achieve high bit rates. Measurement campaigns with these signals are difficult and require expensive equipment. In order to generate realistic data this paper refines a methodology for virtual measurements of 5G channels, which combines a simulation of urban mobility with a ray-tracing simulator. The urban mobility simulator is responsible for controlling mobility, positioning pedestrians and vehicles throughout each scene while the ray-tracing simulator is repeatedly invoked, simulating the interactions between receivers and transmitters. The orchestration among both simulators is done using a Python software. To check how the realism can influence the computational cost, it was made a numerical analyze between the number of faces and the simulation time.","PeriodicalId":135552,"journal":{"name":"Anais de XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130016252","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 : 2020-01-13DOI: 10.14209/sbrt.2019.1570558820
Camila Novaes, C. Nahum, Igor Trindade, Daniel Cederholm, Gyanesh Patra, A. Klautau
Virtualization is a key feature in Cloud Radio Access Network (C-RAN). It can help to save costs since it allows the use of virtualized base stations instead of physically deployment in different areas. However, the creation and management of virtual base stations pools is not trivial and introduces new challenges to C-RAN deployment. This paper reports a method to orchestrate and manage a container-based C-RAN. We used several instances of the OpenAirInterface software running on Docker containers, and orchestrated them using Kubernetes. We demonstrate that using Kubernetes it is possible to dynamically scale remote radio heads (RRHs) and baseband units (BBUs) according to requirements of the network and parameters such as the server resources usage.
{"title":"Virtualized C-RAN Orchestration with Docker, Kubernetes and OpenAirInterface","authors":"Camila Novaes, C. Nahum, Igor Trindade, Daniel Cederholm, Gyanesh Patra, A. Klautau","doi":"10.14209/sbrt.2019.1570558820","DOIUrl":"https://doi.org/10.14209/sbrt.2019.1570558820","url":null,"abstract":"Virtualization is a key feature in Cloud Radio Access Network (C-RAN). It can help to save costs since it allows the use of virtualized base stations instead of physically deployment in different areas. However, the creation and management of virtual base stations pools is not trivial and introduces new challenges to C-RAN deployment. This paper reports a method to orchestrate and manage a container-based C-RAN. We used several instances of the OpenAirInterface software running on Docker containers, and orchestrated them using Kubernetes. We demonstrate that using Kubernetes it is possible to dynamically scale remote radio heads (RRHs) and baseband units (BBUs) according to requirements of the network and parameters such as the server resources usage.","PeriodicalId":135552,"journal":{"name":"Anais de XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116838635","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 : 2020-01-09DOI: 10.14209/sbrt.2019.1570558753
C. Nahum, Leonardo Ramalho, Joary Fortuna, Chenguang Lu, M. Berg, Igor Almeida, A. Klautau
This paper presents a compression scheme developed for the transport of downlink radio signals in packet fronthaul of centralized-radio access networks (C-RAN). The technique is tailored to frequency-domain functional splits, in which inactive LTE (or 5G NR) resource elements may not be transmitted in the packets. This allows decreasing the link data rate, especially when the cell load is low. The compression scheme is based on two parts: transmission of side information to indicate active and inactive resource elements of the LTE, and nonuniform scalar quantization to compress the QAM symbols of the active resource elements. The method was implemented in the OpenAirInterface (OAI) software for real-time evaluation. The testbed results show a significant reduction in link usage with a low computational cost.
{"title":"Downlink Fronthaul Compression in Frequency Domain using OpenAirInterface","authors":"C. Nahum, Leonardo Ramalho, Joary Fortuna, Chenguang Lu, M. Berg, Igor Almeida, A. Klautau","doi":"10.14209/sbrt.2019.1570558753","DOIUrl":"https://doi.org/10.14209/sbrt.2019.1570558753","url":null,"abstract":"This paper presents a compression scheme developed for the transport of downlink radio signals in packet fronthaul of centralized-radio access networks (C-RAN). The technique is tailored to frequency-domain functional splits, in which inactive LTE (or 5G NR) resource elements may not be transmitted in the packets. This allows decreasing the link data rate, especially when the cell load is low. The compression scheme is based on two parts: transmission of side information to indicate active and inactive resource elements of the LTE, and nonuniform scalar quantization to compress the QAM symbols of the active resource elements. The method was implemented in the OpenAirInterface (OAI) software for real-time evaluation. The testbed results show a significant reduction in link usage with a low computational cost.","PeriodicalId":135552,"journal":{"name":"Anais de XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126477562","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 : 2019-09-02DOI: 10.14209/SBRT.2019.1570556619
Patrese Emiron Barbosa de Souza, W. Silva, E. B. L. Filho, L. C. Cordeiro
Sinais de eletrocardiograma (ECG) podem ser utilizados tanto para acompanhamento quanto diagnostico de doencas cardiacas, o que depende de infraestruturas de armazenamento e transmissao. Entretanto, como memoria e banda de transmissao sao recursos finitos, torna-se necessario comprimir dados de ECG. Alem disso, com relacao ao monitoramento a distância, espera-se que o hardware utilizado seja simples e barato. O presente trabalho ataca os problemas mencionados e propoe uma metodologia de compressao de sinais de ECG, onde experimentos com uma implementacao desse paradigma mostraram que tal abordagem e possivel e tambem eficaz, desde que alinhada as condicoes de cada caso especifico. Este esquema e baseado em tecnicas de codificacao distribuida de sinais, cuja principal caracteristica consiste em realizar a maior parte da exploracao estatistica desse tipo de processo em decodificadores e assim permitir um processo de codificacao mais simples, o que tem o potencial de facilitar a sua implementacao em dispositivos embarcados, como o Holter de ECG.
{"title":"Compressão de Sinais de Eletrocardiograma Utilizando Técnicas de Codificação Distribuída","authors":"Patrese Emiron Barbosa de Souza, W. Silva, E. B. L. Filho, L. C. Cordeiro","doi":"10.14209/SBRT.2019.1570556619","DOIUrl":"https://doi.org/10.14209/SBRT.2019.1570556619","url":null,"abstract":"Sinais de eletrocardiograma (ECG) podem ser utilizados tanto para acompanhamento \u0000quanto diagnostico de doencas cardiacas, o que depende de infraestruturas de armazenamento \u0000e transmissao. Entretanto, como memoria e banda de transmissao sao recursos finitos, torna-se \u0000necessario comprimir dados de ECG. Alem disso, com relacao ao monitoramento a distância, \u0000espera-se que o hardware utilizado seja simples e barato. O presente trabalho ataca os problemas \u0000mencionados e propoe uma metodologia de compressao de sinais de ECG, onde experimentos \u0000com uma implementacao desse paradigma mostraram que tal abordagem e possivel e tambem \u0000eficaz, desde que alinhada as condicoes de cada caso especifico. Este esquema e baseado em \u0000tecnicas de codificacao distribuida de sinais, cuja principal caracteristica consiste em realizar a \u0000maior parte da exploracao estatistica desse tipo de processo em decodificadores e assim permitir \u0000um processo de codificacao mais simples, o que tem o potencial de facilitar a sua implementacao \u0000em dispositivos embarcados, como o Holter de ECG.","PeriodicalId":135552,"journal":{"name":"Anais de XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123777293","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 : 2019-09-01DOI: 10.14209/SBRT.2019.1570554422
Gabriela Lewenfus, W. Martins, S. Chatzinotas, B. Ottersten
Graph signals (GS) are widespread in many areas of data analysis, such as in social, genetics, and biomolecular networks as well as in several engineering applications. Detecting localized properties of GS using spectral tools while taking into account the underlying graph topology is still an active research topic called vertex-frequency analysis (VFA). This paper provides a brief and up-to-date overview on state-of-the-art VFA tools, namely windowed graph Fourier transform and spectral graph wavelet transform. In addition, the paper shows how VFA can be applied to detect and localize anomalies in GS. In the particular example of localizing a malfunctioning weather station, the average area under ROC curve achieved by the local factor outlier technique can be improved from 72% to 87% when fed with VFA-extracted features to detect small drifts in temperature measurements, ranging from 0.5C to 4C. Keywords— GSP, vertex-frequency analysis, Fourier transform, wavelets, anomaly detection
{"title":"On the Use of Vertex-Frequency Analysis for Anomaly Detection in Graph Signals","authors":"Gabriela Lewenfus, W. Martins, S. Chatzinotas, B. Ottersten","doi":"10.14209/SBRT.2019.1570554422","DOIUrl":"https://doi.org/10.14209/SBRT.2019.1570554422","url":null,"abstract":"Graph signals (GS) are widespread in many areas of data analysis, such as in social, genetics, and biomolecular networks as well as in several engineering applications. Detecting localized properties of GS using spectral tools while taking into account the underlying graph topology is still an active research topic called vertex-frequency analysis (VFA). This paper provides a brief and up-to-date overview on state-of-the-art VFA tools, namely windowed graph Fourier transform and spectral graph wavelet transform. In addition, the paper shows how VFA can be applied to detect and localize anomalies in GS. In the particular example of localizing a malfunctioning weather station, the average area under ROC curve achieved by the local factor outlier technique can be improved from 72% to 87% when fed with VFA-extracted features to detect small drifts in temperature measurements, ranging from 0.5C to 4C. Keywords— GSP, vertex-frequency analysis, Fourier transform, wavelets, anomaly detection","PeriodicalId":135552,"journal":{"name":"Anais de XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134623180","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 : 2019-09-01DOI: 10.14209/SBRT.2019.1570557364
Thadeu L. B. Dias, L. Biscainho, W. Martins
This paper tackles multichannel separation of convolutive mixtures of audio sources by using complex-valued nonnegative matrix factorization (CNMF). We extend models proposed by previous works and show that one may tailor advanced single-channel NMF techniques, such as the deconvolutive NMF, to the multichannel factorization scheme. Additionally, we propose a regularized cost function that enables the user to control the distribution of the estimated parameters without significantly increasing the underlying computational cost. We also develop an optimization framework compatible with previous related works. Our simulations show that the proposed deconvolutive model offers advantages when compared to the simple NMF, and that the regularization is able to steer the parameters towards a solution with desirable properties. Keywords— Blind source separation, convolutive mixture, NMF, deconvolutive NMF
{"title":"Time-Deconvolutive CNMF for Multichannel Blind Source Separation","authors":"Thadeu L. B. Dias, L. Biscainho, W. Martins","doi":"10.14209/SBRT.2019.1570557364","DOIUrl":"https://doi.org/10.14209/SBRT.2019.1570557364","url":null,"abstract":"This paper tackles multichannel separation of convolutive mixtures of audio sources by using complex-valued nonnegative matrix factorization (CNMF). We extend models proposed by previous works and show that one may tailor advanced single-channel NMF techniques, such as the deconvolutive NMF, to the multichannel factorization scheme. Additionally, we propose a regularized cost function that enables the user to control the distribution of the estimated parameters without significantly increasing the underlying computational cost. We also develop an optimization framework compatible with previous related works. Our simulations show that the proposed deconvolutive model offers advantages when compared to the simple NMF, and that the regularization is able to steer the parameters towards a solution with desirable properties. Keywords— Blind source separation, convolutive mixture, NMF, deconvolutive NMF","PeriodicalId":135552,"journal":{"name":"Anais de XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117156389","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 : 1900-01-01DOI: 10.14209/sbrt.2019.1570559146
C. Rodrigues, C. Dias, G. Fraidenraich, E. Lima
{"title":"Study of a Pilotless Fine Frequency Estimator Algorithm in Burst-mode PSK Transmissions","authors":"C. Rodrigues, C. Dias, G. Fraidenraich, E. Lima","doi":"10.14209/sbrt.2019.1570559146","DOIUrl":"https://doi.org/10.14209/sbrt.2019.1570559146","url":null,"abstract":"","PeriodicalId":135552,"journal":{"name":"Anais de XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais","volume":"21 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120824382","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 : 1900-01-01DOI: 10.14209/sbrt.2019.1570558977
Ian Marson, C. Carneiro, G. Soares, P. Almeida, H. Braga, M. Salmento
{"title":"Transmissor para Aplicações de Comunicação por Luz Vísivel com Modulação OOK-M-FSK","authors":"Ian Marson, C. Carneiro, G. Soares, P. Almeida, H. Braga, M. Salmento","doi":"10.14209/sbrt.2019.1570558977","DOIUrl":"https://doi.org/10.14209/sbrt.2019.1570558977","url":null,"abstract":"","PeriodicalId":135552,"journal":{"name":"Anais de XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127232734","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 : 1900-01-01DOI: 10.14209/sbrt.2019.1570558867
Rafael Chiea, M. H. Costa, Guillaume Barrault
{"title":"Uma Comparação entre Máscaras Tempo-frequência para Redução de Ruído em Implantes Cocleares","authors":"Rafael Chiea, M. H. Costa, Guillaume Barrault","doi":"10.14209/sbrt.2019.1570558867","DOIUrl":"https://doi.org/10.14209/sbrt.2019.1570558867","url":null,"abstract":"","PeriodicalId":135552,"journal":{"name":"Anais de XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais","volume":"859 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127321275","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 : 1900-01-01DOI: 10.14209/sbrt.2019.1570559247
B. Bispo, Renata C. Borges, Marcio Costa
{"title":"Método cepstral para estimação da resposta ao impulso do efeito de oclusão em sistemas de auxílio à audição","authors":"B. Bispo, Renata C. Borges, Marcio Costa","doi":"10.14209/sbrt.2019.1570559247","DOIUrl":"https://doi.org/10.14209/sbrt.2019.1570559247","url":null,"abstract":"","PeriodicalId":135552,"journal":{"name":"Anais de XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125172167","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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