AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
An autoencoder-based solution to compress CSI at the UE side and reconstruct it at BS and outperforms the conventional CSI feedback scheme by approximately 21% in terms of throughput is proposed.
Massive multiple-input multiple-output (MIMO) systems require accurate channel state information (CSI) at the base station, whereas frequency-division-duplex downlink CSI feedback introduces substantial uplink overhead. Autoencoder-based CSI feedback networks reduce feedback dimensionality, but their parameter size and...
In frequency division duplex (FDD) mode, channel state information (CSI) feedback is crucial for ensuring communication quality in massive multiple-input multiple-output (MIMO) systems. To reduce the feedback overhead, the user equipment (UE) typically compresses the CSI matrix before feeding it back to the base statio...
A unified comparative analysis of three widely used spatially correlated centralized scattering channel models in a multi-cell massive MIMO system suggests that M-MMSE is preferable in strongly correlated environments, while lower-complexity schemes such as RZF provide a favorable trade-off in scenarios with milder spa...
Stable downlink precoding in time-division duplex (TDD) multi-user multi-input multi-output (MU-MIMO) systems critically depends on the reliability of channel state information (CSI) at the transmitter. In mobile environments, Doppler-induced channel variation, estimation noise, and pilot contamination distort the chan...
This paper focuses on the improvement of the Massive MIMO-based OTFS systems by implementing the systems using more advanced signal transforms such as Discrete Wavelet Transform and Fractional Fourier Transform under various fading channels.
Conventional link adaptation typically relies on scalar link-quality indicators such as signal-to-noise ratio (SNR), while richer channel state information (CSI) can improve adaptation at the cost of higher processing complexity. This paper investigates a compact alternative for modulation selection in a real-time mult...
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