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Deep Learning for IoT Big Data and Streaming Analytics: A Survey
Mehdi Mohammadi, Ala Al-Fuqaha, Sameh Sorour +1
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data over time for a wide range of fields and applications…
A Particle Filtering Approach for Enabling Distributed and Scalable Sharing of DSA Network Resources
Bassem Khalfi, Mahdi Ben Ghorbel, Bechir Hamdaoui +2
Handling the massive number of devices needed in numerous applications such as smart cities is a major challenge given the scarcity of spectrum resources. Dynamic spectrum access (…
When Traffic Flow Prediction Meets Wireless Big Data Analytics
Yuanfang Chen, Mohsen Guizani, Yan Zhang +3
Traffic flow prediction is an important research issue for solving the traffic congestion problem in an Intelligent Transportation System (ITS). Traffic congestion is one of the mo…
Extracting and Exploiting Inherent Sparsity for Efficient IoT Support in 5G: Challenges and Potential Solutions
Bassem Khalfi, Bechir Hamdaoui, Mohsen Guizani
Besides enabling an enhanced mobile broadband, next generation of mobile networks (5G) are envisioned for the support of massive connectivity of heterogeneous Internet of Things (I…
Optimizing Joint Data and Power Transfer in Energy Harvesting Multiuser Wireless Networks
Bassem Khalfi, Bechir Hamdaoui, Mahdi Ben Ghorbel +3
Energy harvesting emerges as a potential solution for prolonging the lifetime of the energy-constrained mobile wireless devices. In this paper, we focus on Radio Frequency (RF) ene…
Efficient Spectrum Availability Information Recovery for Wideband DSA Networks: A Weighted Compressive Sampling Approach
Bassem Khalfi, Bechir Hamdaoui, Mohsen Guizani +1
Compressive sampling has great potential for making wideband spectrum sensing possible at sub-Nyquist sampling rates. As a result, there have recently been research efforts that le…
RSU Cloud and its Resource Management in support of Enhanced Vehicular Applications
Mohammad A. Salahuddin, Ala Al-Fuqaha, Mohsen Guizani +1
We propose Roadside Unit (RSU) Clouds as a novel way to offer non-safety application with QoS for VANETs. The architecture of RSU Clouds is delineated, and consists of traditional…
VANETs Meet Autonomous Vehicles: A Multimodal 3D Environment Learning Approach
Yassine Maalej, Sameh Sorour, Ahmed Abdel-Rahim +1
In this paper, we design a multimodal framework for object detection, recognition and mapping based on the fusion of stereo camera frames, point cloud Velodyne Lidar scans, and Veh…