XXXVI Simpósio Brasileiro de Telecomunicações e Processamento de Sinais

This paper presents the bandwidth enhancement of a Planar Inverted F-Antenna (PIFA) up to 1.55 GHz as results of adding slots in the radiator element of the structure. The SParameters, gain, and radiation pattern after analyzed were used for comparison purpose with a published PIFA model. The simulations were made using the commercial software...

This article presented one prototype for monitoring on photovoltaic generation system based on Embedded System, which data can access by cloud computing and has low cost. In the context, this hardware have a microcontroller, sensors and internet wireless communication module for integration with the cloud computing. Thus, the work insert to context...

Least Squares optimization is one of the methods utilized to solve the problem of nodes localization in wireless networks. Within its numerous variations, these algorithms based on the gradient approach generally use channel models typical of the particular scenario for each application. This paper explores the use of these techniques when applied...

Long Term Evolution (LTE) is the main technology used in 4G networks. One of its major challenges is related to the use of the frequency spectrum and to services that require low latencies. Considering that the traffic scaling in LTE networks is a complex optimization problem, the main contribution of the work is a new downlink scheduling...

This work describes the implementation of a satellite tracking technique in a real antenna control system. The technique uses least squares estimation to search for the best antenna pointing position to receive the satellite beacon signal tracked in the 2D region created by the motion axes. The work also presents the technique implementation results...

The automatic classification (or identification) of modulation schemes and radio access technologies (RAT) find several applications in military and cognitive radio systems. As in other domains, deep learning has been applied to classification problems in telecommunications. As other machine learning approaches, assessing deep learning depends on...

This work proposes low complexity heuristics that solve data rate maximization problems in orthogonal frequency division multiplexing (OFDM) systems taking into account the distortions inserted by a nonlinear power amplifier (PA). The heuristics are based on the famous power allocation technique patented by Hughes-Hartogs, but providing significant...

This paper presents a performance analysis of a system Multiple Input Multiple Output - Generalized Frequency Division Multiplexing Cooperative Amplify and Forward and Power Amplifier at the source. This work has as contributions the formulation of the variable gain in relay AF considering the characteristics of the MIMO GFDM system. In addition,...

The reflection of an acoustic signal on walls or objects in an enclosed environment is perceived as reverbera- tion. It is present daily in conference rooms, tunnels and any closed spaces. The presence of reverberation can degrade speech intelligibility and the performance of tasks that depend on it, such as speech or speaker recognition. Many...

This article investigates the application of adaptive graph signal processing on real-world data. Using temperature measurements obtained from Brazilian weather stations, we construct a graph signal and verify that it can be approximated by a sparse frequency representation. Considering the properties of bandlimited graph signals, we analyze the...