Modelling and Simulation of various detection algorithms in uplink Massive MIMO systems: A Comparative Analysis

Article Energy & Fuels

A novel intelligent transport system charging scheduling for electric vehicles using Grey Wolf Optimizer and Sail Fish Optimization algorithms

Rajasekaran Rajamoorthy et al.

Summary: Intelligent Transport System (ITS) aims to improve traffic efficiency by reducing traffic problems. Users connected to smart cities can access information such as traffic issues and real-time travel information in advance. To solve the problem of traffic jams caused by electric vehicles (EVs) heading to charging stations, an optimized charging scheduling algorithm based on Grey Sail Fish Optimization (GSFO) is proposed.

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2022)

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Article Computer Science, Information Systems

Classification of Glaucoma Based on Elephant-Herding Optimization Algorithm and Deep Belief Network

Mona A. S. Ali et al.

Summary: This study proposes a novel glaucoma identification system using a deep belief network optimized by the elephant-herding optimization algorithm. The system achieved high classification accuracy and sensitivity by analyzing structural, intensity, and textural features of fundus images.

ELECTRONICS (2022)

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Article Computer Science, Hardware & Architecture

ADMM-Based Infinity-Norm Detection for Massive MIMO: Algorithm and VLSI Architecture

Shahriar Shahabuddin et al.

Summary: This article introduces a novel data detection algorithm and VLSI design called ADMIN for massive multiuser MIMO wireless systems. ADMIN outperforms linear detectors when the ratio between BS and user antennas is small, providing significant improvements in performance.

IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS (2021)

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Article Telecommunications

Massive MIMO Systems for 5G Communications

Sinan A. Khwandah et al.

Summary: Massive MIMO will enhance future 5G systems by improving data rate and spectral efficiency while accommodating a larger number of users. It allows for 3D beamforming to increase degrees of freedom and high-throughput user count. It is expected to offer more advantages in terms of energy and spectral efficiency compared to other solutions.

WIRELESS PERSONAL COMMUNICATIONS (2021)

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Article Computer Science, Information Systems

Low Complexity Linear Detectors for Massive MIMO: A Comparative Study

Mahmoud A. Albreem et al.

Summary: This study examines iterative matrix inversion methods in massive MIMO systems, revealing that conjugate gradient and optimized coordinate descent methods offer the lowest complexity and acceptable performance. Additionally, the Gauss-Seidel method outperforms other detectors in complexity increment, with performance not improving with every iteration. Omega is shown to play a significant role in achieving satisfactory performance in both RI and SOR based detectors.

IEEE ACCESS (2021)

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Review Chemistry, Analytical