Home / Publications / Page 2
Tuesday, April 6, 2021
Anastassia Gharib, Waleed Ejaz, and Mohamed Ibnkahla Spectrum sensing is believed to be a prominent solution to spectrum scarcity caused by the presence of a large number of devices, particularly in Internet of Things (IoT) applications. Providing spectrum access to all of these devices is one of the paramount issues for I systems.... More
Wednesday, July 29, 2020
Anastassia Gharib, Waleed Ejaz, and Mohamed Ibnkahla The emerge of Internet of Things (IoT) brings up revolutionary changes to wireless communications. Cognitive radio (CR) can be seen as one of the prominent solutions to spectrum scarcity in IoT, where multi-band cooperative spectrum sensing (CSS) is the key. However, lack of centralized... More
Friday, June 26, 2020
C. S. Ferdowsy, Z. Bouida, and Mohamed Ibnkahla With adaptive transmission, the throughput and power can be adapted to the channel conditions, which leads to a variable amount of energy consumption for the Internet of Things (IoT) sensor nodes. Considering an IoT network with heterogeneous sensor nodes in terms of their battery levels,... More
C. S. Ferdowsy, Z. Bouida, and Mohamed Ibnkahla The growing popularity of the Internet of Things' (IoT) applications comes with new challenges for wireless communications. Indeed, wireless transmission systems should more efficiently support heterogeneous traffic from diverse types of information sources. In this paper, we propose a set of... More
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
Search