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Personal computing devices have gone through more than four decades of evolution. The form factor of computing devices has gone down dramatically, while computation workload for each computing device has increased significantly. Moreover, people spend much more time interacting with computing devices than before. In short, everyone has a pocket supercomputer.
Build a 5G NR link-level simulator in MATLAB to evaluate PHY performance, numerology trade-offs, and scheduler algorithms (PF, RR, QoS-aware). Include BLER/throughput curves under realistic channel models.
Implement an indoor localization system using channel state information (CSI) and fingerprinting. Train lightweight neural models in MATLAB to provide meter-level accuracy for retail and asset tracking.
Simulate LoRaWAN networks to analyze capacity, duty-cycle effects, and gateway placement. Provide planning tools and visualizations useful for customers deploying city-scale sensor networks.
Model UAV base station placement, trajectory planning and link adaptation to maximize coverage and throughput for emergency or temporary network rollouts. Include energy-aware flight scheduling.
Simulate analog/digital hybrid beamforming, beam training and blockage mitigation at mmWave frequencies. Provide code and visualization for phased array patterns and link budgets for product demos.
Evaluate edge computing offload strategies, NB-IoT/LoRa energy models and MAC protocol optimizations to reduce battery drain and operational cost for large sensor fleets.
In today\\\'s rapidly advancing era of automation, robotics control systems are
Learn MoreThe financial sector is witnessing a technological revolution with the rise of Large Lang
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In today\\\'s rapidly advancing era of automation, robotics control systems are evolving to meet the demand for smarter, faster, and more reliable performance. Among the many innovations driving this transformation is the use of MCP (Model-based Control Paradigms)
The financial sector is witnessing a technological revolution with the rise of Large Language Models (LLMs). Traditionally used for text analysis, LLMs are now being integrated with powerful platforms like MATLAB to develop financial forecasting models