<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>RIS | Dr. Evangelos Vlachos</title><link>https://vlachos.science/tags/ris/</link><atom:link href="https://vlachos.science/tags/ris/index.xml" rel="self" type="application/rss+xml"/><description>RIS</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en</language><lastBuildDate>Wed, 01 Apr 2026 00:00:00 +0000</lastBuildDate><image><url>https://vlachos.science/media/icon_hu_2beab1606e98fa9.png</url><title>RIS</title><link>https://vlachos.science/tags/ris/</link></image><item><title>Receiving RISs: Enabling Channel Estimation and Autonomous Configuration</title><link>https://vlachos.science/publication/alexandropoulos-receiving-2025/</link><pubDate>Wed, 01 Apr 2026 00:00:00 +0000</pubDate><guid>https://vlachos.science/publication/alexandropoulos-receiving-2025/</guid><description>&lt;h2 id="key-contributions">Key Contributions&lt;/h2>
&lt;ul>
&lt;li>Proposes a semi-passive RIS architecture with RF chains that enables active channel estimation via tunable absorption phase profiles, eliminating the need for external pilot injection.&lt;/li>
&lt;li>Introduces a channel estimation protocol exploiting beamspace sparsity and low-rank structure of extremely large MIMO channels, solved efficiently via ADMM.&lt;/li>
&lt;li>Demonstrates how RIS-side channel estimates can be leveraged to autonomously optimize phase-quantized reflection coefficients, enabling self-configuring RIS operation.&lt;/li>
&lt;/ul></description></item></channel></rss>