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uRLLC Shadowing Estimation in eMBB-uRLLC Multiplexing for Geospatially Correlated PPP Channel

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This letter investigates eMBB-uRLLC multiplexing in which the eMBB users’ channel feedback is exploited for the uRLLC channel condition estimation. This approach allows instant and reliable transmission without acquiring the… Click to show full abstract

This letter investigates eMBB-uRLLC multiplexing in which the eMBB users’ channel feedback is exploited for the uRLLC channel condition estimation. This approach allows instant and reliable transmission without acquiring the user’s CSI, which is especially advantageous in intermittent uRLLC traffic transmissions. This letter introduces two channel estimators for a geospatially-correlated channel and derives their estimation errors. Then, we propose an eMBB-uRLLC multiplexing algorithm based on the estimates and provide transmission reliability and spectral efficiency measures under adaptive modulation and coding. Simulation results confirm the effectiveness of the proposed approach in different propagation environments.

Keywords: urllc multiplexing; shadowing estimation; urllc shadowing; embb urllc; geospatially correlated

Journal Title: IEEE Wireless Communications Letters
Year Published: 2022

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