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Creators/Authors contains: "Kumar, Venkataramani"

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  1. ; ; ; ; (, IEEE GLOBECOM 2024)
    Free, publicly-accessible full text available December 8, 2025
  2. ; ; ; (, IEEE)
    Full Text Available 
  3. ; ; ; ; (, IEEE)
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  4. ; ; ; ; (, NAECON 2023 - IEEE National Aerospace and Electronics Conference)
    Multiple-input multiple-outputs (MIMO) systems are integral to the implementation of the current fifth-generation (5G) and beyond wireless networks. Accurate channel state information (CSI) is imperative to a MIMO system for its optimal performance. In this work, we develop an end-to-end software evaluation platform for the channel estimation process in a MIMO system. With this platform, different channel estimation and reconstruction processes, as well as precoding methods can be implemented and evaluated. Channel reconstruction error and transmission bit error rate are chosen metrics in the current implementation. Direct channel estimation with the least square method, and CSI feedback methods with compressive sensing and deep-learning approaches are tested to demonstrate the evaluation platform 
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