XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais

Neste artigo é apresentada uma metodologia de modelagem de perda de percurso utilizando transceptores LoRa de baixo custo juntamente com o emprego de uma rede neural artificial para melhorar a caracterização. Tal procedimento permite uma comparação de desempenhos entre a rede neural e os modelos tradicionais de perda de percurso, baseada em medições...

Este artigo objetiva analisar a perda de potência no sinal recebido de uma antena embarcada em um VANT através da medição do diagrama de radiação. É avaliado como os materiais presentes na aeronave influenciam na qualidade da recepção do sinal.

This paper tackles multichannel separation of convolutive mixtures of audio sources by using complex-valued non-negative 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...

This work aims to propose a new model of artificial neural network in order to estimate the path loss based on power measurements conducted by an unmanned aerial vehicle. As an evaluation intent, the neural network is compared to the Log-distance model for verifying which model performs better. Results indicate the proposed neural network has a minor...

Iterative demodulation and decoding (ID) seeks to extract useful information from decoders by performing multiple successive demodulation and decoding iterations. Multistage decoding with iterative demodulation and decoding (MSD-ID) unites MSD and ID, in order to improve error probability performance for multilevel codes. This article evaluates MSD-ID...

The availability of information regarding the network's performance and the evolution of the capacity of big data's real time processing have enabled new approaches based on machine learning techniques to enhance classical features of mobile networks, like handover. This paper proposes and analyse the performance of handover strategies based on machine...

The paper discusses an Internet of Things-based framework that is suitable for designing cost-effective Smart Base Stations that need energy delivery continuity and asset security. Also, the implementation of a prototype of a Smart Base Station that is based on the proposed IoT framework is described. In addition, a field trial of the implemented...

Neste artigo, investigamos o problema de classificação automática de modulações através do aprendizado de máquina avaliando não somente a acurácia de classificação, mas também o tempo de treinamento das arquiteturas propostas. Diferente dos trabalhos recentes que lidam com o problema utilizando redes neurais convolucionais (CNN) com filtros de duas...

In future generations of mobile communications, there is a tendency of significant augment of handover requisitions, which brings urgency to the formulation of better strategies to this procedure in order to make more efficient use of spectrum and maximize QoE. In this sense, this work presents a concise comparison between different techniques based on...

IP address spoofing and MAC address spoofing attacks, IP spoofing and MAC spoofing respectively, have increased the difficulty of detecting and containing malicious actions from users within wireless networks. This paper presents a tool for detecting and blocking IP spoofing and MAC spoofing attacks on a wireless network using the IEEE 802.1X protocol....