Telecommunications

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• Case Studies
  • Computer Networks
  • Cybersecurity
• Virtualization - Dynamic Spectrum Sharing (DSS)
• Ericsson launches unique AI functionality to boost radio access networks
• Deepsig pioneering the application of deep learning to wireless
• How Machine Learning Is Creating New Opportunities In The Telecommunications Industry | Julie Stoughton - Digitalist Magazine
• Top 10 Data Science Use cases in Telecom | Igor Bobriakov - Medium

Cognitive Radio (CR) / Software-defined radio (SDR)

• Wikipedia

Software-defined radio (SDR) is a radio communication system where components that have been traditionally implemented in hardware (e.g. mixers, filters, amplifiers, modulators/demodulators, detectors, etc.) are instead implemented by means of software on a personal computer or embedded system. Software radios have significant utility for the military and cell phone services, both of which must serve a wide variety of changing radio protocols in real time. In the long term, software-defined radios are to become the dominant technology in radio communications. SDRs, along with software defined antennas are the enablers of the cognitive radio.

GNU Radio

is a free & open-source software development toolkit that provides signal processing blocks to implement software radios. It can be used with readily-available low-cost external RF hardware to create software-defined radios, or without hardware in a simulation-like environment.

Deepwave Digital Systems

Enabling deep learning and AI at the edge of wireless systems. GPUs are extremely well suited for processes that are highly parallel. The Fast Fourier Transform (FFT) is one of the most common techniques in signal processing and happens to be a highly parallel algorithm. In this blog post the Deepwave team walks you though how to leverage the embedded GPU built into the AIR-T to perform high-speed FFTs without the computational bottleneck of a CPU and without having to experience the long development cycle associated with writing VHDL code for FPGAs. By leveraging the GPU on the AIR-T, you get the best of both worlds: fast development time and high speed processing. A familiar tool to anyone working in the wireless domain, GNU Radio allows signal processing experts to tie together blocks of functionality using an intuitive GUI. Many of the “in the weeds” details regarding the software implementation are well abstracted so the user can focus on the algorithm instead.Once an algorithm has been optimized (or a pre-trained algorithm has been downloaded by a 3rd party), the user will reference it in Deepwave’s GR-WAVELEARNER software that provides a TensorRT Inference block for GNU Radio Companion (GRC)

5G

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• Internet of Things (IoT)
• China Global Television Network (CGTN) | Wikipedia
• 5G + Cloud + AI: Huawei Works with Carriers to Power New ICT Infrastructure | Huawei - PR Newswire

Why China can take a lead in 5G and AI technology application China is among the world’s first countries to apply 5G to business services. China’s telecommunications guides the global 5G-technology trend. An open China is becoming the “playground” for global AI businesses and a key landmark for a joint exploration of AI’s direction of end development. Check out this video and have a look at why China can take a lead in 5G and AI technology application. Subscribe to us on YouTube: http://goo.gl/lP12gA

5G-IoT-Edge-ML/AI: Technologies That Will Transform Digi International Inc. 5G networks are being deployed, and we believe that 5G, IoT, edge compute, machine learning and artificial intelligence will combine to create the perfect technological storm – in a good way! In this video Digi engineering director Harald Remmert describes how low-cost IoT devices combined with the huge capacity of 5G will transform society, and how you can leverage 4G LTE today.

5G Security

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Three-step approach to reach a high level of intelligent security management. How to master E2E network security when introducing 5G core | Kari-Pekka Perttula - Ericsson

• Dynamic: Introduce automated security policy configuration and compliance monitoring
• Cognitive: Automated threat and vulnerability detection assisted with ML /AI
• Intelligent: Repeatable, adaptive and holistic security management with threat intelligence. This provides end-to-end visibility for business-related security risks, and actions can be directed via automated workflows to mitigate risks faster.