Browsing Qatar Mobility Innovations Center by Publisher "IEEE"
Now showing items 1-20 of 63
-
A game theoretic framework for energy efficient deployment and operation of heterogeneous LTE networks
( IEEE , 2013 , Conference Paper)In this paper, a game theoretical framework for energy efficient operation of heterogeneous LTE cellular networks is proposed. Within this framework, two game theoretic concepts are studied and analyzed. The first approach ... -
A game theoretical approach for cooperative environmentally friendly cellular networks powered by the smart grid
( IEEE , 2014 , Conference Paper)This paper investigates the collaboration between multiple mobile operators to optimize the energy efficiency of cellular networks, maximize their profits or achieve or tradeoff between both objectives. Mobile operators ... -
A generic simulation-based dimensioning approach for planning heterogeneous LTE cellular networks
( IEEE , 2014 , Conference Paper)This paper presents a generic approach for dimensioning LTE/LTE-A cellular networks. Dimensioning is the first step of cellular network planning that determines the approximate number of base stations (BSs) needed to cover ... -
A mathematical modeling approach and a novel solution for sector azimuth angle planning
( IEEE , 2014 , Conference Paper)State of the art planning tools rely on intricate simulation models and metaheuristic approaches to determine the optimal azimuth angle of each sector in a system. The process is highly time consuming and the quality of ... -
A modified joint uplink-downlink opportunistic scheduling for Quality of Service guarantees
( IEEE , 2013 , Conference Paper)Quality of Service (QoS) is a very important metric in wireless communication systems, where both Uplink (UL) and Downlink (DL) connections request strict QoS demands in terms of rate, delay, etc. for their proper operation. ... -
A new MAC design in LTE for MIMO multiuser schemes
( IEEE , 2013 , Conference Paper)Long Term Evolution (LTE) supports closed-loop Multiple Input Multiple Output (MIMO) techniques, as a mechanism to improve system performance. An open topic since the appearance of MIMO is whether the feedback load, that ... -
A practical approach for base station on/off switching in green LTE-A HetNets
( IEEE , 2014 , Conference Paper)This paper describes a method for BS on/off switching in LTE-Advanced (LTE-A). The proposed method uses information exchanged between base stations (BSs) on the X2 interface in order to determine the BSs that should be ... -
Achieving energy efficiency in LTE with joint D2D communications and green networking techniques
( IEEE , 2013 , Conference Paper)In this paper, the joint operation of cooperative device-to-device (D2D) communications and green cellular communications is investigated. An efficient approach for grouping mobile terminals (MTs) into cooperative clusters ... -
Achieving green LTE-A HetNets with D2D traffic offload and renewable energy powered small cell BSS
( IEEE , 2014 , Conference Paper)Energy aware coordination between mobile devices and the cellular network infrastructure is studied. The objective is to rely on both device-to-device (D2D) communications and any small cell base stations (BSs) that can ... -
Advanced Mobility: Integrating Visible Light Communication and Sensing Technologies
( IEEE , 2024 , Conference Paper)Visible Light Communication (VLC) is an emerging technology that has gained significant attention in recent years due to its immense potential for transforming transportation systems. VLC enables short-range high-speed, ... -
Air quality monitoring and analysis in Qatar using a wireless sensor network deployment
( IEEE , 2013 , Conference Paper)In this paper, an actual deployment of a wireless sensor network is described. The purpose of the sensor network is to monitor and analyze air quality in Doha. Small scale wireless sensor stations communicate with a backend ... -
An advanced bandwidth adaptation mechanism for LTE systems
( IEEE , 2013 , Conference Paper)In this paper, we propose a bandwidth adaptation mechanism for 3GPP LTE which partially releases bearers' resources for admission of a new bearer during congestion periods. Each active bearer may contribute into the ... -
Bandwidth and power allocation for two-way relaying in overlay cognitive radio systems
( IEEE , 2014 , Conference Paper)In this paper, the problem of both bandwidth and power allocation for two-way multiple relay systems in overlay cognitive radio (CR) setup is investigated. In the CR overlay mode, primary users (PUs) cooperate with cognitive ... -
CLIP: Train Faster with Less Data
( IEEE , 2023 , Conference Paper)Deep learning models require an enormous amount of data for training. However, recently there is a shift in machine learning from model-centric to data-centric approaches. In datacentric approaches, the focus is to refine ... -
Cluster based V2V communications for enhanced QoS of SVC video streaming over vehicular networks
( IEEE , 2014 , Conference Paper)Cooperative vehicle-To-vehicle (V2V) communications for real-Time video streaming of scalable video coded (SVC) videos is investigated, and a novel clustering method is proposed. In the proposed method, moving vehicles are ... -
Consistent Valid Physically-Realizable Adversarial Attack Against Crowd-Flow Prediction Models
( IEEE , 2024 , Article)Recent works have shown that deep learning (DL) models can effectively learn city-wide crowd-flow patterns, which can be used for more effective urban planning and smart city management. However, DL models have been known ... -
Crowd Counting in Harsh Weather using Image Denoising with Pix2Pix GANs
( IEEE , 2023 , Conference Paper)Visual crowd counting estimates the density of the crowd using deep learning models such as convolution neural networks (CNNs). The performance of the model heavily relies on the quality of the training data that constitutes ... -
Crowd Density Estimation using Imperfect Labels
( IEEE , 2023 , Conference Paper)Density estimation is one of the most widely used method for crowd counting in which a deep learning model learns from head annotated crowd images to estimate crowd density in unseen images. Typically, the learning performance ... -
Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks
( IEEE , 2024 , Article)The rapid evolution of modern automobiles into intelligent and interconnected entities presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) for In-Vehicle Networks (IVNs). This survey ... -
DroneNet: Crowd Density Estimation using Self-ONNs for Drones
( IEEE , 2023 , Conference Paper)Video surveillance using drones is both convenient and efficient due to the ease of deployment and unobstructed movement of drones in many scenarios. An interesting application of drone-based video surveillance is to ...