515 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Wrexham UniversityGB3 papers
- King Abdullah University of Science and TechnologySA2 papers
- King Fahd University of Petroleum and MineralsSA2 papers
- National Research Institute of Astronomy and GeophysicsEG2 papers
- The University of SydneyAU2 papers
- University of East LondonGB2 papers
- University of SuffolkGB2 papers
- University of WollongongAU2 papers
- Abdul Wali Khan University MardanPK1 paper
- Academia Oamenilor de Știință din RomâniaRO1 paper
- Adana Science and Technology UniversityTR1 paper
- Ajman UniversityAE1 paper
6 papers · 1 filter
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…
Precise Performance Analysis of the LASSO under Matrix Uncertainties
Ayed M. Alrashdi, Ismail Ben Atitallah, Tareq Y. Al-Naffouri +1
In this paper, we consider the problem of recovering an unknown sparse signal $\xv_0 \in \mathbb{R}^n$ from noisy linear measurements $\yv = \Hm \xv_0+ \zv \in \mathbb{R}^m$. A pop…
SNR Estimation in Linear Systems with Gaussian Matrices
Mohamed A. Suliman, Ayed M. Alrashdi, Tarig Ballal +1
This paper proposes a highly accurate algorithm to estimate the signal-to-noise ratio (SNR) for a linear system from a single realization of the received signal. We assume that the…