<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Yuhang Shen · Notes</title><description>A future home for research notes and technical writing.</description><link>https://coolmoon327.github.io/</link><language>en</language><generator>as-folio (Astro)</generator><item><title>VLAN Trunking for Broadband and IPTV: A Practical Design Pattern</title><link>https://coolmoon327.github.io/blog/vlan-trunking-for-broadband-and-iptv/</link><guid isPermaLink="true">https://coolmoon327.github.io/blog/vlan-trunking-for-broadband-and-iptv/</guid><description>A reusable VLAN trunking pattern for carrying broadband and IPTV over one physical link while keeping the traffic domains explicit.</description><pubDate>Thu, 04 Jan 2024 00:00:00 GMT</pubDate><category>vlan</category><category>iptv</category><category>network-design</category><category>openwrt</category><category>Systems Engineering</category><author>Yuhang Shen</author></item><item><title>Growing Linux Storage Safely: Partitions, LVM, and Filesystems</title><link>https://coolmoon327.github.io/blog/growing-linux-storage-safely/</link><guid isPermaLink="true">https://coolmoon327.github.io/blog/growing-linux-storage-safely/</guid><description>A safety-first mental model and procedure for extending Linux storage across partitions, LVM layers, and filesystems.</description><pubDate>Wed, 30 Nov 2022 00:00:00 GMT</pubDate><category>linux-storage</category><category>lvm</category><category>filesystems</category><category>operations</category><category>Systems Engineering</category><author>Yuhang Shen</author></item><item><title>Reproducible Academic Writing with VS Code, LaTeX, BibTeX, and Git</title><link>https://coolmoon327.github.io/blog/reproducible-academic-writing-with-vscode-latex-bibtex-git/</link><guid isPermaLink="true">https://coolmoon327.github.io/blog/reproducible-academic-writing-with-vscode-latex-bibtex-git/</guid><description>A reproducible academic-writing workflow that joins LaTeX structure, BibTeX references, VS Code tooling, and disciplined Git history.</description><pubDate>Fri, 28 Oct 2022 00:00:00 GMT</pubDate><category>latex</category><category>vscode</category><category>bibtex</category><category>git</category><category>reproducible-research</category><category>Research Practice</category><author>Yuhang Shen</author></item><item><title>Engineering Reinforcement Learning for Edge Systems</title><link>https://coolmoon327.github.io/blog/engineering-reinforcement-learning-for-edge-systems/</link><guid isPermaLink="true">https://coolmoon327.github.io/blog/engineering-reinforcement-learning-for-edge-systems/</guid><description>An engineering synthesis of state representations, large discrete action selection, and generative latent models for edge-system control.</description><pubDate>Mon, 24 Oct 2022 00:00:00 GMT</pubDate><category>reinforcement-learning</category><category>representation-learning</category><category>large-action-spaces</category><category>edge-computing</category><category>variational-autoencoder</category><category>Cloud and Edge Systems</category><author>Yuhang Shen</author></item><item><title>QoS-Aware Service Composition in Geo-Distributed Clouds</title><link>https://coolmoon327.github.io/blog/qos-aware-service-composition-in-geo-distributed-clouds/</link><guid isPermaLink="true">https://coolmoon327.github.io/blog/qos-aware-service-composition-in-geo-distributed-clouds/</guid><description>A clear formulation of QoS-aware service composition and the role of genetic search in geo-distributed cloud workflows.</description><pubDate>Mon, 24 Oct 2022 00:00:00 GMT</pubDate><category>service-composition</category><category>quality-of-service</category><category>geo-distributed-cloud</category><category>openraas</category><category>Cloud and Edge Systems</category><author>Yuhang Shen</author></item><item><title>How Communication Networks Move Data: Layering, Congestion, and Routing</title><link>https://coolmoon327.github.io/blog/how-communication-networks-move-data/</link><guid isPermaLink="true">https://coolmoon327.github.io/blog/how-communication-networks-move-data/</guid><description>An end-to-end explanation of protocol layering, reliable transport, congestion control, and routing decisions in communication networks.</description><pubDate>Sun, 23 Oct 2022 00:00:00 GMT</pubDate><category>computer-networks</category><category>protocol-layers</category><category>congestion-control</category><category>routing</category><category>Wireless and Networks</category><author>Yuhang Shen</author></item><item><title>Information Theory for Wireless Systems: Entropy, Capacity, and Coding</title><link>https://coolmoon327.github.io/blog/information-theory-for-wireless-systems/</link><guid isPermaLink="true">https://coolmoon327.github.io/blog/information-theory-for-wireless-systems/</guid><description>A structured path from entropy and mutual information to channel capacity and practical coding ideas for wireless systems.</description><pubDate>Sun, 23 Oct 2022 00:00:00 GMT</pubDate><category>information-theory</category><category>channel-capacity</category><category>coding-theory</category><category>wireless-communications</category><category>Wireless and Networks</category><author>Yuhang Shen</author></item><item><title>Multi-Agent Reinforcement Learning in Practice: CTDE, MAPPO, and System Design</title><link>https://coolmoon327.github.io/blog/multi-agent-reinforcement-learning-in-practice/</link><guid isPermaLink="true">https://coolmoon327.github.io/blog/multi-agent-reinforcement-learning-in-practice/</guid><description>A practical view of multi-agent reinforcement learning through CTDE, MAPPO, coordination challenges, and implementation choices.</description><pubDate>Sun, 23 Oct 2022 00:00:00 GMT</pubDate><category>multi-agent-reinforcement-learning</category><category>ctde</category><category>mappo</category><category>system-design</category><category>Reinforcement Learning</category><author>Yuhang Shen</author></item><item><title>Optimization for Wireless Systems: Convexity, Duality, and KKT</title><link>https://coolmoon327.github.io/blog/optimization-for-wireless-systems/</link><guid isPermaLink="true">https://coolmoon327.github.io/blog/optimization-for-wireless-systems/</guid><description>A problem-driven guide to convexity, Lagrangian duality, KKT conditions, and the optimization patterns used in wireless research.</description><pubDate>Sun, 23 Oct 2022 00:00:00 GMT</pubDate><category>convex-optimization</category><category>lagrange-duality</category><category>kkt-conditions</category><category>wireless-systems</category><category>Wireless and Networks</category><author>Yuhang Shen</author></item><item><title>Reinforcement Learning from Bellman Equations to Actor–Critic</title><link>https://coolmoon327.github.io/blog/reinforcement-learning-from-bellman-to-actor-critic/</link><guid isPermaLink="true">https://coolmoon327.github.io/blog/reinforcement-learning-from-bellman-to-actor-critic/</guid><description>A unified route from Markov decision processes and Bellman equations to value learning, policy gradients, and actor–critic methods.</description><pubDate>Sun, 23 Oct 2022 00:00:00 GMT</pubDate><category>reinforcement-learning</category><category>bellman-equation</category><category>actor-critic</category><category>policy-optimization</category><category>Reinforcement Learning</category><author>Yuhang Shen</author></item><item><title>A Researcher’s macOS Workstation: Tools, Automation, and Trade-offs</title><link>https://coolmoon327.github.io/blog/researcher-macos-workstation/</link><guid isPermaLink="true">https://coolmoon327.github.io/blog/researcher-macos-workstation/</guid><description>A curated macOS workstation for research, writing, and development, with emphasis on durable workflows rather than app collecting.</description><pubDate>Sun, 23 Oct 2022 00:00:00 GMT</pubDate><category>macos</category><category>research-workflow</category><category>developer-tools</category><category>automation</category><category>Research Practice</category><author>Yuhang Shen</author></item><item><title>Safe Reinforcement Learning Beyond Reward Penalties</title><link>https://coolmoon327.github.io/blog/safe-reinforcement-learning-beyond-reward-penalties/</link><guid isPermaLink="true">https://coolmoon327.github.io/blog/safe-reinforcement-learning-beyond-reward-penalties/</guid><description>A comparison of constrained MDPs, trust-region policy updates, and action-projection safety layers for enforcing explicit constraints.</description><pubDate>Sun, 23 Oct 2022 00:00:00 GMT</pubDate><category>safe-reinforcement-learning</category><category>constrained-mdp</category><category>trust-region</category><category>safety-layer</category><category>Reinforcement Learning</category><author>Yuhang Shen</author></item><item><title>From Bursty Arrivals to Random Access: Stochastic Models for Wireless Networks</title><link>https://coolmoon327.github.io/blog/stochastic-models-for-wireless-random-access/</link><guid isPermaLink="true">https://coolmoon327.github.io/blog/stochastic-models-for-wireless-random-access/</guid><description>A connected treatment of Poisson and MMPP traffic, bursty arrivals, and ALOHA throughput models for wireless random access.</description><pubDate>Sun, 23 Oct 2022 00:00:00 GMT</pubDate><category>stochastic-processes</category><category>traffic-modeling</category><category>mmpp</category><category>aloha</category><category>random-access</category><category>Wireless and Networks</category><author>Yuhang Shen</author></item></channel></rss>