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In this paper we evaluate the fifth generation (5G) communication signal from the perspective of radar sensing. The passive radars exploit the third-part transmitted signals in the space as the illuminators of opportunity (IoO), and has gained renewed interest. The 5G signal has large bandwidth and advanced modulation technique, offering great pote...
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Mtech thesis presentation about Simulation and comparison of schedulers for 5G MAC using Matlab.
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... With the exponential growth of communications as well as radar, lidar, sensing and other bandwidth hungry applications, the generation of high-quality, broad-band signals become increasingly important [1][2][3]. The required signal bandwidth of these applications can reach several tens or even hundreds of gigahertz [4]. ...
High-bandwidth signals are needed in many applications like radar, sensing, measurement and communications. Especially in optical networks, the sampling rate and analog bandwidth of digital-to-analog converters (DACs) is a bottleneck for further increasing data rates. To circumvent the sampling rate and bandwidth problem of electronic DACs, we demonstrate the generation of wide-band signals with low-bandwidth electronics. This generation is based on orthogonal sampling with sinc-pulse sequences in N parallel branches. The method not only reduces the sampling rate and bandwidth, at the same time the effective number of bits (ENOB) is improved, dramatically reducing the requirements on the electronic signal processing. In proof of concept experiments the generation of analog signals, as well as Nyquist shaped and normal data will be shown. In simulations we investigate the performance of 60 GHz data generation by 20 and 12 GHz electronics. The method can easily be integrated together with already existing electronic DAC designs and would be of great interest for all high-bandwidth applications.
... With the exponential growth of communications as well as radar, lidar, sensing and other bandwidth hungry applications, the generation of high-quality, broad-band signals become increasingly important [1][2][3]. The required signal bandwidth of these applications can reach several tens or even hundreds of gigahertz [4]. ...
High-bandwidth signals are needed in many applications like radar, sensing, measurement and communications. Especially in optical networks, the sampling rate and analog bandwidth of digital-to-analog converters (DACs) is a bottleneck for further increasing data rates. To circumvent the sampling rate and bandwidth problem of electronic DACs, we demonstrate the generation of wide-band signals with low-bandwidth electronics. This generation is based on orthogonal sampling with sinc-pulse sequences in N parallel branches. The method not only reduces the sampling rate and bandwidth, at the same time the effective number of bits (ENOB) is improved, dramatically reducing the requirements on the electronic signal processing. In proof of concept experiments the generation of analog signals, as well as Nyquist shaped and normal data will be shown. In simulations we investigate the performance of 60 GHz data generation by 20 and 12 GHz electronics. The method can easily be integrated together with already existing electronic DAC designs and would be of great interest for all high-bandwidth applications.
This paper presents an in-depth examination of the creation and deployment of an Android application and a companion PHP Laravel web-based platform, both engineered to extract, process, and scrutinize real-time mobile signal parameters. Capitalizing on the ubiquity and open-source features of the Android system, the application acquires nuanced mobile data and interacts seamlessly with the web platform for comprehensive analysis. The platform, designed to be an accessible educational resource, serves a broad demographic, ranging from inquisitive children to professional researchers, fostering a more profound comprehension of wireless communication networks. Despite initial success, the study acknowledges the need for ongoing enhancements to adapt to the continually evolving Android ecosystem. The article systematically articulates the methodology encompassing project planning, design, development, testing, and data collection. It underscores pivotal research inquiries, the selection of software tools, and the type of data handled. The project spotlights the relentless pursuits in technological research, signifying its considerable potential to contribute to the domain of wireless network analysis.
