{"id":1679,"date":"2022-03-22T15:03:29","date_gmt":"2022-03-22T19:03:29","guid":{"rendered":"https:\/\/carleton.ca\/internetofthings\/?page_id=1679"},"modified":"2022-04-05T17:02:27","modified_gmt":"2022-04-05T21:02:27","slug":"publications-2018","status":"publish","type":"page","link":"https:\/\/carleton.ca\/internetofthings\/publications-2018\/","title":{"rendered":"2018 杏吧原创 Internet of Things Lab Publications"},"content":{"rendered":"

Saturday, November 9, 2019<\/p>

2018 IEEE International Conference on Communications Workshops (ICC Workshops): Implementation of a Smart Grid Communication System Compliant with IEEE 2030.5<\/h3>

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<\/span><\/p><\/a><\/div>

Wednesday, November 6, 2019<\/p>

2018 IEEE Wireless Communications and Networking Conference (WCNC): Secondary system’s scheduling using precoding-aided space shift keying for overlay cognitive radio<\/h3>

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<\/span><\/p><\/a><\/div>

Wednesday, November 6, 2019<\/p>

2018 IEEE Global Communications Conference (GLOBECOM): Distributed Learning-Based Multi-Band Multi-User Cooperative Sensing in Cognitive Radio Networks<\/h3>

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<\/span><\/p><\/a><\/div>

Thursday, January 3, 2019<\/p>

2018 IEEE Military Communications Conference (MILCOM): Emulation of Large-Scale LTE Networks in NS-3 and CORE: A Distributed Approach<\/h3>

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<\/span><\/p><\/a><\/div>

Friday, October 19, 2018<\/p>

Encyclopedia of Wireless Networks (Book Section): Machine Learning in Wireless Sensor Networks for the Internet of Things<\/h3>

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<\/span><\/p><\/a><\/div>

Saturday, March 17, 2018<\/p>

Journal of Communications and Networks: Control Channel Selection Techniques in Cognitive Radio Networks: A Comparative Performance Analysis<\/h3>

Ayman Sabbah; Mohamed Ibnkahla; Omneya Issa; Bernard Doray   Cognitive radio (CR) technology offers a promising solution to the spectrum scarcity problem via dynamic spectrum access (DSA). Due to the nature of cooperative cognitive radio networks (CRNs), where two distinct networks are active simultaneously, a significant amount of control... More<\/span><\/p><\/a><\/div>

Tuesday, December 12, 2017<\/p>

IEEE Internet of Things Journal: Multiband Spectrum Sensing and Resource Allocation for IoT in Cognitive 5G Networks<\/h3>

Waleed Ejaz; Mohamed Ibnkahla   The proliferation of the Internet of Things (IoT) demands a diverse and wide range of requirements in terms of latency, reliability, energy efficiency, etc. Future IoT systems must have the ability to deal with the challenging requirements of both users and applications. Cognitive fifth generation (5G) network... More<\/span><\/p><\/a><\/div><\/div>

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