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This article commenced the real-time education and research podium for characterize wireless networks, analog and digital communications courses with National Instruments Universal Software Radio Peripheral Device (NI USRP 2901) device. The 5G Cellular communications will claim remarkable flexibility from the physical layer. Many research ideas are proposed and compared with the theoretical part but there is a lack of enactment of a system under real-time channel conditions and front-end impairments. In this article, a single-input single-output generalized frequency division multiplexing transceiver is performed with NI USRP 2901, which utilizes radio frequency platform it has the ability to work as the transceiver in the frequency range of 70 MHz to 6 GHz and it also provides multiple input and multiple output support, which is helpful for the implementation of industry-based wireless operation prototypes. The generalized frequency division multiplexing system model is programmed in the LabVIEW software block diagram panel along with USRP configuration utility. In view of field-programmable gate arrays, both programming host handling and continuous preparing can be actualized. This usage enables the clients to assess distinctive generalized frequency division multiplexing performance characteristics, such as total harmonic distortion, signal in noise and distortion (dB), and specific harmonic, transmitted bit stream and received bit stream with error count, bit error rate value, and its graph are plotted. The simulation results show that the generated generalized frequency division multiplexing signal has a total harmonic distortion value of 0.793054 and signal in noise and distortion value of 0.204343. The specific harmonic value is 0.0228768 and the bit error rate value is 0.003125. The generalized frequency division multiplexing signal slightly outperforms the orthogonal frequency division multiplexing signal in terms of real-time transmission signal characteristics such as total harmonic distortion, signal in noise and distortion, bit error rate, power spectrum value, Wigner–Ville distribution value in the two-dimensional array and corresponding graphs are plotted. The proposed system outperforms existing system by a margin of 3% in real-time channel using the USRP 2901 device. [ABSTRACT FROM AUTHOR]

Recent breakthroughs lowering the costs of software-defined radio devices have made them very attractive for teaching wireless communication. This paper provides an example of an undergraduate course that incorporates the use of low-cost software-defined radio and Matlab/Simulink software to illustrate the basic principles of practical digital communication systems. This course targets senior level undergraduate electrical engineering students with a background in the fields of communication and signal processing. The course comprises two parts: software-defined radio introductory studies and implementation of a basic digital modem. The second part of this course may also be taught as project-based learning or in a hackathon-style event. Finally, a list of additional project-based learning/hackathon projects is provided. [ABSTRACT FROM AUTHOR]

A matched filter is an essential element in digital communications receivers. It is known that it is optimal, in the sense of producing sufficient statistics of maximum signal-to-noise ratio; a proof is presented in many undergraduate textbooks. Recent research in mathematics education suggests that the purpose of a proof is not merely to convince students that a theorem is true by pure logic; rather, a proof should be explanatory, with semantic content that elucidates the relationship between the concepts involved. In this paper, a time-domain proof that the matched filter is optimal is presented, and it is argued that it has larger explanatory value than alternative proofs. [ABSTRACT FROM AUTHOR]

In telecommunications engineering degrees, simulations are used to understand better theoretical concepts. However, in courses related to digital communications or signal processing usually these simulations cannot be easily applied to real data or in real scenarios. This limitation does not allow the students to verify that the learned theoretical hypotheses are valid in practice. Nowadays, software defined radio platforms have been proposed to validate theoretical telecommunications concepts in real situations. Therefore, by combining a software defined radio and simulation tools, students can implement the learned notions over real data in real scenarios. This allows students to work under real applications in order to learn by experience and to see that the theoretical concepts are valid in the real world. This paper presents a project involving real-time decoding of automatic dependent surveillance–broadcast (ADS-B) signals, implemented by using a universal software radio peripheral software defined radio and MATLAB®. The universal software radio peripheral allows to receive real automatic dependent surveillance–broadcast signals sent by the aircraft. Then, by using MATLAB® tools, the automatic dependent surveillance–broadcast baseband signals are decoded. The students are guided through a manual to demodulate the real automatic dependent surveillance–broadcast signals and display in a map the aircraft trajectories. The evaluation is based on a competition between the students, considering execution time of their algorithms, and a final report of the project. This project allows to obtain a game-oriented and novel approach for teaching digital communications and signal processing. The implementation of this project in telecommunications engineering courses motivate the students, allowing them to understand better difficult theoretical concepts, and improve their computer, teamwork, and collaboration skills. The originality of the approach is based on the usage of a prototyping platform, combined with simulation tools, for practical application of telecommunications engineering concepts using real signals. [ABSTRACT FROM AUTHOR]