A Novel Algorithm to Report CSI in MIMO-Based Wireless Networks
Muhammad Karam Shehzad, Luca Rose, and Mohamad Assaad

TL;DR
This paper introduces a scalable CSI reporting method using channel prediction, significantly reducing feedback overhead and improving accuracy in both mobile and immobile wireless channels.
Contribution
It proposes a novel CSI reporting algorithm employing channel prediction at both ends, applicable to TDD and FDD systems, enhancing accuracy and reducing overhead.
Findings
Reduces channel mean-squared-error (MSE) in simulations.
Decreases over-the-air feedback overhead significantly.
Achieves SNR gains in mobile and immobile scenarios.
Abstract
In wireless communication, accurate channel state information (CSI) is of pivotal importance. In practice, due to processing and feedback delays, estimated CSI can be outdated, which can severely deteriorate the performance of the communication system. Besides, to feedback estimated CSI, a strong compression of the CSI, evaluated at the user equipment (UE), is performed to reduce the over-the-air (OTA) overhead. Such compression strongly reduces the precision of the estimated CSI, which ultimately impacts the performance of multiple-input multiple-output (MIMO) precoding. Motivated by such issues, we present a novel scalable idea of reporting CSI in wireless networks, which is applicable to both time-division duplex (TDD) and frequency-division duplex (FDD) systems. In particular, the novel approach introduces the use of a channel predictor function, e.g., Kalman filter (KF), at both…
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