QMIC Research: Recent submissions
Now showing items 121-140 of 278
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A Zero-Touch Network Service Management Approach Using AI-Enabled CDR Analysis
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The detection of cells with sub-optimal performance and the identification of the root-cause of such performance is a crucial and challenging task in Network Performance Management (NPM). The contemporary NPM approaches, ... -
A Hybrid Deep Learning-Based (HYDRA) Framework for Multifault Diagnosis Using Sparse MDT Reports
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Diminishing viability of manual fault diagnosis in the increasingly complex emerging cellular network has motivated research towards artificial intelligence (AI)-based fault diagnosis using the minimization of drive test ... -
SpiderNet: Spectrally Efficient and Energy Efficient Data Aided Demand Driven Elastic Architecture for 6G
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Legacy base station (BS) centric cellular architecture is marked by tight interlock between spectral efficiency (SE) and energy efficiency (EE). That means, unless new degrees of freedom and intelligent dynamic adaptability ... -
Deep Learning-based Framework for Multi-Fault Diagnosis in Self-Healing Cellular Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Fault diagnosis is turning out to be an intense challenge due to the increasing complexity of the emerging cellular networks. The root-cause analysis of coverage-related network anomalies is traditionally carried out by ... -
Addressing Data Sparsity with GANs for Multi-fault Diagnosing in Emerging Cellular Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Data-driven machine learning is considered a means to address the paramount challenge of timely fault diagnosis in modern and futuristic ultra-dense and highly complex mobile networks. Whereas diagnosing multiple faults ... -
Analyzing Riding Activities on the World's Longest Continuous Cycling Path Using Non-Intrusive IoT Sensors
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)On February 2020, Qatar entered the Guinness World Record by opening the world's longest continuous cycling track developed by the Public Works Authority - Ashghal. Gaining insights of the usage of the so called Olympic ... -
High definition map update for autonomous and connected vehicles: A survey
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)As making the right decision is a key element in autonomous driving systems, perfect knowledge of the traffic environment is necessary in order to avoid dangerous situations. Autonomous vehicles rely on a set of sensors ... -
Future UAV-Based ITS: A Comprehensive Scheduling Framework
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)Multi-rotor unmanned aerial vehicles (UAVs) have been recently recognized as one of the top emerging technologies to be utilized in various smart city domains such as intelligent transportation systems (ITS). They represent ... -
A Generic Spatiotemporal UAV Scheduling Framework for Multi-Event Applications
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)In this paper, a generic scheduling framework to manage a fleet of micro unmanned aerial vehicles (UAVs) is proposed. The objective is to employ multiple UAVs in sequential and parallel ways to cover spatially and temporally ... -
Dynamic prediction of survival via Landmark method using the asthma prevention trial in young children
( Public Library of Science , 2023 , Article)This paper focuses on the applications of Landmark method for obtaining dynamic predictions of survival by using Landmark approach to the data of asthma prevention trial in young children. This work focuses on the different ... -
Enhanced Diagnostic of Pulmonary Embolism Detection using DenseNet and XGBoost
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)Pulmonary embolism (PE) poses a significant medical challenge, often linked to severe morbidity and mortality rates. This study investigates the effectiveness of machine learning techniques in detecting pulmonary embolism ... -
A time-varied probabilistic ON/OFF switching algorithm for cellular networks
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)In this letter, we develop a time-varied probabilistic on/off switching planning method for cellular networks to reduce their energy consumption. It consists in a risk-aware optimization approach that takes into consideration ... -
Visual Deception: Demonstrating Spoofing Attacks on Autonomous Vehicle Cameras
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)Autonomous vehicles (AVs) are the cornerstone of the future intelligent transportation systems. The AVs are intelligent vehicles with sophisticated sensing capabilities powered by advanced artificial intelligence. Among ... -
AVEC: A Statistical Framework for Adaptive Vehicular Edge Data Cleaning
( Springer , 2020 , Conference)In Vehicle-to-Vehicle and Vehicle-to-Infrastructure (V2X) communication, a large amount of data and information is transmitted over the air by the vehicles. If this data is captured, e.g., by a network of roadside units ... -
C-ITS Applications, Use Cases and Requirements for V2X Communication Systems-Threading Through IEEE 802.11p to 5G
( Springer International Publishing , 2022 , Book chapter)The existence of multiple wireless technologies and standards spurs the development of a wide range of cooperative applications for vehicular networking environments. Vehicle-to-Everything (V2X) communication systems enable ... -
Evaluation of DSRC and LTE-V2x: Need for Next-Generation V2X Communication Systems
( Springer Science and Business Media Deutschland GmbH , 2022 , Conference)Predominantly, there are two wireless technologies for providing vehicle-to-everything (V2X) communications, i.e., ad hoc IEEE 802.11p and cellular LTE-V2x. This paper provides a qualitative and quantitative evaluation of ... -
Investigation on cellular LTE C-V2X network serving vehicular data traffic in realistic urban scenarios
( Elsevier , 2024 , Article)The need for reliable vehicular communication is an essential precondition of future Cooperative Intelligent Transportation Systems (C-ITS). The C-ITS applications and their diverse requirements necessitate a hybrid approach ... -
A top-down approach for building realistic reference scenarios and simulation framework for LTE C-V2X communications
( Elsevier , 2023 , Article)Many vehicle-to-everything (V2X) applications and use cases require their feasibility to be simulated, tested, and validated in realistic traffic scenarios and under various network conditions before real-time testbed ... -
Infrastructure-assisted joint power adaptation and routing for heterogeneous vehicular networks
( Elsevier , 2019 , Article)In vehicular networks, protocols and algorithms rely on the in-network status information and its delivery via control messages for their operations. Using the same wireless channel for data and control message transmissions ... -
A Framework to Address Mobility Management Challenges in Emerging Networks
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The key enablers for emerging cellular networks (such as densification, concurrent operation at multiple bands, and harnessing mmWave spectrum), give birth to a peculiar set of new network management challenges. One such ...
