Academic: Recent submissions
Now showing items 441-460 of 28539
-
Joint Position and Travel Path Optimization for Energy Efficient Wireless Data Gathering Using Unmanned Aerial Vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Unnamed aerial vehicles (UAVs) or drones have attracted growing interest in the last few years for multiple applications; thanks to their advantages in terms of mobility, easy movement, and flexible positioning. In UAV-based ... -
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 ... -
Optimal collision-free navigation for multi-rotor UAV swarms in urban areas
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)The use of micro unmanned aerial vehicles (UAVs) have gained a lot of interests especially for smart city applications due to their three- dimensional (3D) mobility and flexibility. Path planning is one of the most important ... -
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 Paper)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 ... -
Future UAV-Based ITS: A Comprehensive Scheduling Framework
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)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 ... -
Entropy Field Decomposition Based Outage Detection for Ultra-Dense Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Ambitious quality of experience expectations from 5G mobile cellular networks have spurred the research towards ultra-dense heterogeneous networks (UDHNs). However, due to coverage limitations of millimeter wave cells and ... -
AI-Assisted RLF Avoidance for Smart EN-DC Activation
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)In the first phase of 5G network deployment, User Equipment (UE) will camp traditionally on LTE network. Later on, if the UE requests a 5G service, it will be made to camp simultaneously on LTE and 5G. This dual-camping ... -
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, ... -
Machine Learning Aided Holistic Handover Optimization for Emerging Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)In the wake of network densification and multi-band operation in emerging cellular networks, mobility and handover management is becoming a major bottleneck. The problem is further aggravated by the fact that holistic ... -
Addressing Data Sparsity with GANs for Multi-fault Diagnosing in Emerging Cellular Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)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 ... -
Enhancing Downlink QoS and Energy Efficiency Through a User-Centric Stienen Cell Architecture for mmWave Networks
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)This paper presents an analytical framework for performance characterization of a novel Stienen cell based user-centric architecture operating in millimeter wave spectrum. In the proposed architecture, at most one remote ... -
Privacy-Preserving Control of Video Transmissions for Drone-based Intelligent Transportation Systems
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)The drones are now frequently used for many smart city applications including intelligent transportation to provide situational awareness for drivers as well as other stakeholders that manage the traffic. In such situations ... -
Data Driven Optimization of Inter-Frequency Mobility Parameters for Emerging Multi-band Networks
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Densification and multi-band operation in 5G and beyond pose an unprecedented challenge for mobility management, particularly for inter-frequency handovers. The challenge is aggravated by the fact that the impact of key ... -
Deep Learning-based Framework for Multi-Fault Diagnosis in Self-Healing Cellular Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)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 ... -
An Improved Dilated Convolutional Network for Herd Counting in Crowded Scenes
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Crowd management technologies that leverage computer vision are widespread in contemporary times. There exists many security-related applications of these methods, including, but not limited to: following the flow of an ... -
Enhanced MDT-based performance estimation for ai driven optimization in future cellular networks
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Minimization of drive test (MDT) allows coverage estimation at a base station by leveraging measurement reports gathered at the user equipment (UE) without the need for drive tests. Therefore, MDT is a key enabling feature ... -
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 ... -
Bluetooth-Based Vehicle Counting: Bridging the Gap to Ground-Truth With Machine Learning
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Traffic flow, number of vehicles passing a particular point over a given period of time, is an essential indicator for evaluating the performance and condition of road networks, detecting congestion, and predicting traffic ... -
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 Paper)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 ...
