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Thursday, November 14, 2019
Anastassia Gharib, Waleed Ejaz, and Mohamed Ibnkahla Multi-band cooperative spectrum sensing (CSS) can provide opportunistic spectrum access to secondary users (SUs) in cognitive radio networks (CRNs). In multi-band CSS, the sensing task is divided among SUs based on their capability, residual energy, channel conditions, etc. However, SUs'... More
Saturday, November 9, 2019
Marwan Ghalib; Arslan Ahmed; Ismael Al-Shiab; Zied Bouida; Mohamed Ibnkahla Energy utilities are constantly under pressure to meet the growing and complicated energy demands. The traditional energy grid allows for one-way communication of energy usage between customers and the utilities. This does not allow the utilities to have control or... More
Ayman Sabbah, Abdallah Jarwan, Omneya Issa, and Mohamed Ibnkahla Long Term Evolution (LTE) is a strong candidate for the next generation of Mission-Critical Networks (MCNs) for public safety and military use. However, extensive investigation on different operating scenarios has to be done before adopting LTE. Emulating LTE networks is the... More
Wednesday, November 6, 2019
Zied Bouida; Anastassia Gharib; Mohamed Ibnkahla In this paper, we consider an overlay cognitive radio (CR) scenario where the primary transmitter (PT) and the primary receiver (PR) communicate via the help of a secondary users' (SUs) system. Under a worst-case scenario, we assume that the link between the primary users (PUs) is broken... More
Anastassia Gharib; Waleed Ejaz; Mohamed Ibnkahla Multi-band cooperative spectrum sensing can provide access to a wide range of spectrum in cognitive radio networks (CRNs). The design of multi-band spectrum sensing is very challenging mainly due to scheduling of secondary users (SUs) to sense a subset of channels. In this paper, we propose a... More
Thursday, October 31, 2019
Ayman Sabbah, Abdallah Jarwan, Larry Bonin, and Mohamed Ibnkahla The next generation of Mission Critical Networks (MCNs) will likely be based on Long Term Evolution (LTE) technology. This is due to the many features LTE can offer such as reliable broadband communications and Proximity Services (ProSe). However, the environments where MCNs... More
Sunday, June 9, 2019
Y. Rafique, Z. Bouida, and M. Ibnkahla Emerging technologies such as the Internet of Things (IoT) and their anticipated massive deployment stimulate the need for developing adaptive energy efficient modulation schemes to maximize network lifetime. IoT systems are typically comprised of limited energy heterogeneous devices in the sensing... More
Abdallah Jarwan, Ayman Sabbah, and Mohamed Ibnkahla Spatial and temporal correlation among the generated traffic in wireless sensor networks (WSNs) can be exploited in reducing the energy consumption of continuous sensor data collection. Dual prediction (DP) and data compression (DC) schemes rely on the spatio-temporal correlation to reduce... More
Thursday, May 9, 2019
El-Mougy, I. Al-Shiab, and M. Ibnkahla The Internet of Things (IoT) has enabled unprecedented interactions with our physical world, with the aim to deliver a wide range of customizable services in many domains. With recent advancements in IoT technology, users are increasingly expecting these services to be intelligent and context aware.... More
Monday, January 28, 2019
A. Jarwan, A. Sabbah, M. Ibnkahla, and O. Issa Public safety networks (PSNs) are very crucial for public protection and disaster relief (PPDR). Land mobile radio (LMR) technologies have been used extensively in the deployment of PSNs so far. LMR networks support sophisticated voice applications that can, to some extent, deal with the... More
Thursday, January 3, 2019
Ayman Sabbah; Abdallah Jarwan; Ismael Al-Shiab; Mohamed Ibnkahla; Maoyu Wang Long Term Evolution (LTE) is a promising technology to be used for Mission-Critical Networks (MCNs); emulating such technology is important to test different scenarios before real deployment. However, using the Network Simulator (NS-3) to simulate large-scale LTE networks... More
Friday, October 19, 2018
Abdallah Jarwan; Ayman Sabbah; Mohamed Ibnkahla In usual ways of programming, a program is built by building instructions in order to reach desired outputs from inputs. However, in machine learning (ML), that process is flipped. The inputs and desired set of outputs are given, and the program should learn what instructions or policy... More
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