VLAN Trunking for Broadband and IPTV: A Practical Design Pattern
A reusable VLAN trunking pattern for carrying broadband and IPTV over one physical link while keeping the traffic domains explicit.
Notes & writing
Blog
A home for research notes, engineering notebooks, and reading notes.
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Growing Linux Storage Safely: Partitions, LVM, and Filesystems
A safety-first mental model and procedure for extending Linux storage across partitions, LVM layers, and filesystems.
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Reproducible Academic Writing with VS Code, LaTeX, BibTeX, and Git
A reproducible academic-writing workflow that joins LaTeX structure, BibTeX references, VS Code tooling, and disciplined Git history.
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Engineering Reinforcement Learning for Edge Systems
An engineering synthesis of state representations, large discrete action selection, and generative latent models for edge-system control.
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QoS-Aware Service Composition in Geo-Distributed Clouds
A clear formulation of QoS-aware service composition and the role of genetic search in geo-distributed cloud workflows.
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How Communication Networks Move Data: Layering, Congestion, and Routing
An end-to-end explanation of protocol layering, reliable transport, congestion control, and routing decisions in communication networks.
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Information Theory for Wireless Systems: Entropy, Capacity, and Coding
A structured path from entropy and mutual information to channel capacity and practical coding ideas for wireless systems.
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Multi-Agent Reinforcement Learning in Practice: CTDE, MAPPO, and System Design
A practical view of multi-agent reinforcement learning through CTDE, MAPPO, coordination challenges, and implementation choices.
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Optimization for Wireless Systems: Convexity, Duality, and KKT
A problem-driven guide to convexity, Lagrangian duality, KKT conditions, and the optimization patterns used in wireless research.
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Reinforcement Learning from Bellman Equations to Actor–Critic
A unified route from Markov decision processes and Bellman equations to value learning, policy gradients, and actor–critic methods.
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A Researcher’s macOS Workstation: Tools, Automation, and Trade-offs
A curated macOS workstation for research, writing, and development, with emphasis on durable workflows rather than app collecting.
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Safe Reinforcement Learning Beyond Reward Penalties
A comparison of constrained MDPs, trust-region policy updates, and action-projection safety layers for enforcing explicit constraints.
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From Bursty Arrivals to Random Access: Stochastic Models for Wireless Networks
A connected treatment of Poisson and MMPP traffic, bursty arrivals, and ALOHA throughput models for wireless random access.