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Found 4 papers, 1 papers with code
Decentralized Equalization for Massive MIMO Systems With Colored Noise Samples
However, current detection methods tailored to DBP only consider ideal white Gaussian noise scenarios, while in practice, the noise is often colored due to interference from neighboring cells.
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction
To tackle the above challenges, we employ gradient boosting decision trees (GBDT) to handle data heterogeneity and introduce multi-task learning (MTL) to solve data insufficiency.
Primary-Auxiliary Model Scheduling Based Estimation of the Vertical Wheel Force in a Full Vehicle System
A real-world application to the estimation of the vertical wheel force in a full vehicle system are, respectively, conducted to demonstrate the effectiveness of the proposed method.
Decentralized Linear MMSE Equalizer Under Colored Noise for Massive MIMO Systems
Conventional uplink equalization in massive MIMO systems relies on a centralized baseband processing architecture.
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