No abstract

Generalized Frequency Division Multiplexing (GFDM) might be a promising candidate for deployment in cognitive radio networks and for 5G wireless communication.It is a non-orthogonal multicarrier modulation scheme based on flexible pulse shaping. However, given by the high signal amplitude fluctuation, the performance of GFDM systems is highly degraded due to the distortion caused by the nonlinear nature of high power amplifier (HPA). In this article, we investigate the effects of nonlinearities in GFDM and introduce an iterative receiver scheme to reduce the error probability of GFDM signals undergoing nonlinear amplification. The proposed technique is based on successive estimation and cancellation of the in-band distortion introduced by the nonlinear nature of the HPA characteristics. The performance improvement of the iterative receiver structure is expressed by the bit error performance and error vector magnitude.

One of the biggest challenges of communication networks is the video transmission in real time. It requires high demands on the available network capacity and transport mechanisms. Availability of smart mobile devices with batteries, which keep the terminal working for several hours, caused an increased interest in the research of the deployment of video transmission in wireless transmission systems. The presented paper deals with the transmission of video encoded with H.264/AVC (Advanced Video Coding) video coding standard through wireless local area network (WLAN) using the programming environment OPNET Modeller (OM). The test network studied in this work was prepared by combining real and simulated networks, which allows interesting possibilities when working with the OM tools. Such an approach to working with OM allows a detailed video streaming analysis, because the video output was noticeably not only in the form of statistics, but we can see the real impact of transmission failures. Using the OM simulation environment allows to design the transmission systems, which would be difficult to establish in laboratory conditions.

No abstract

In this paper, a multi-view e-learning system for supporting remote education is introduced. Since video is the most natural way to perceive information and of interaction between people, it also has inherent capabilities when using in education environment. The system, we propose, should encourage students more use the opportunities offered by remote learning to foster their training on the university. To enable multi-view video (MVV) streaming a system with three cameras is used. A central server is used to capture the partial streams and it also serves as the control unit to manage the whole system. The student will have the choice to decide which particular part of the captured scene he/she wants to watch. Another option will be a guided stream, where the streams are switched automatically, based on the area where the presentation is currently focused. We believe that this model might contribute to the educational process.