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	<title>Jain&#8217;s fairness index &#8211; BIOENGINEER.ORG</title>
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		<title>Attention-Enhanced Meta-Reinforcement Learning Tackles 5G URLLC-eMBB Resource Conflicts</title>
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		<pubDate>Tue, 27 Oct 2026 16:10:36 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[5G]]></category>
		<category><![CDATA[eMBB]]></category>
		<category><![CDATA[GATv2]]></category>
		<category><![CDATA[Jain's fairness index]]></category>
		<category><![CDATA[Journal of Big Data]]></category>
		<category><![CDATA[meta-learning]]></category>
		<category><![CDATA[Reinforcement Learning]]></category>
		<category><![CDATA[resource allocation]]></category>
		<category><![CDATA[Robust]]></category>
		<category><![CDATA[scheduling]]></category>
		<category><![CDATA[URLLC]]></category>
		<category><![CDATA[URLLC-eMBB]]></category>
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					<description><![CDATA[An attention-enhanced meta-reinforcement learning scheduler reduced URLLC violations to 63.11% versus 90.54% for DQN and 79.52% for PPO in single-cell 5G simulations.]]></description>
		
		
		
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