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20182021
most citedArchitectures for Detecting Interleaved Multi-stage Network Attacks Using Hidden Markov Models

39 citations · 64 across the 5 of their papers we have counts for

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6 papers · 1 filter

eess.SP2018

Iterative Time-Varying Filter Algorithm Based on Discrete Linear Chirp Transform

Osama A. S. Alkishriwo, Ali A. Elghariani, Aydin Akan

Denoising of broadband non--stationary signals is a challenging problem in communication systems. In this paper, we introduce a time-varying filter algorithm based on the discrete…

cs.IT2018★ 1 cited

A Low Complexity Detection Algorithm Based on Alternating Minimization

Anis Elgabli, Ali Elghariani, Vaneet Aggarwal +1

In this paper, we propose an algorithm based on the Alternating Minimization technique to solve the uplink massive MIMO detection problem. The proposed algorithm provides a lower c…

cs.IT2018

QoE-Aware Resource Allocation for Small Cells

Anis Elgabli, Ali Elghariani, Vaneet Aggarwal +1

In this paper, we study the problem of Quality of Experience (QoE) aware resource allocation in wireless systems. In particular, we consider application-aware joint Bandwidth-Power…

cs.IT2018

Space-Time Block Coded Spatial Modulation Aided mmWave MIMO with Hybrid Precoding

Taissir Y. Elganimi, Ali A. Elghariani

In this paper, a combination of Space Time Block Coded Spatial Modulation with Hybrid Analog-Digital Beamforming (STBC-SM-HBF) for Millimeter-wave (mmWave) communications is propos…

cs.CR2018★ 39 cited

Architectures for Detecting Interleaved Multi-stage Network Attacks Using Hidden Markov Models

Tawfeeq Shawly, Ali Elghariani, Jason Kobes +1

With the growing amount of cyber threats, the need for development of high-assurance cyber systems is becoming increasingly important. The objective of this paper is to address the…

cs.IT2018

Two-Stage LASSO ADMM Signal Detection Algorithm For Large Scale MIMO

Anis Elgabli, Ali Elghariani, Abubakr O. Al-Abbasi +1

This paper explores the benefit of using some of the machine learning techniques and Big data optimization tools in approximating maximum likelihood (ML) detection of Large Scale M…