18 citations · 55 across the 11 of their papers we have counts for
11 papers
Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects
Ayed M. Alrashdi, Oussama Dhifallah, Houssem Sifaou
Multi--task learning seeks to improve the generalization error by leveraging the common information shared by multiple related tasks. One challenge in multi--task learning is ident…
Sharp Analysis of RLS-based Digital Precoder with Limited PAPR in Massive MIMO
Xiuxiu Ma, Abla Kammoun, Ayed M. Alrashdi +3
This paper focuses on the performance analysis of a class of limited peak-to-average power ratio (PAPR) precoders for downlink multi-user massive multiple-input multiple-output (MI…
Performance Analysis of Regularized Convex Relaxation for Complex-Valued Data Detection
Ayed M. Alrashdi, Houssem Sifaou
In this work, we study complex-valued data detection performance in massive multiple-input multiple-output (MIMO) systems. We focus on the problem of recovering an -dimensional…
Optimum GSSK Transmission in Massive MIMO Systems Using the Box-LASSO Decoder
Ayed M. Alrashdi, Abdullah E. Alrashdi, Amer Alghadhban +1
We propose in this work to employ the Box-LASSO, a variation of the popular LASSO method, as a low-complexity decoder in a massive multiple-input multiple-output (MIMO) wireless co…
Asymptotic Characterisation of Regularised Zero-Forcing Receiver for Imperfect and Correlated Massive MIMO Systems with Optimal Power Allocation
Ayed M. Alrashdi
In this paper, we present asymptotic high dimensional analysis of the regularised zero-forcing (RZF) receiver in terms of its mean squared error (MSE) and bit error rate (BER) when…
Large System Analysis of Box-Relaxation in Correlated Massive MIMO Systems Under Imperfect CSI (Extended Version)
Ayed M. Alrashdi
In this paper, we study the mean square error (MSE) and the bit error rate (BER) performance of the box-relaxation decoder in massive multiple-input-multiple-output (MIMO) systems…