• Channel Measurement and Resource Allocation Scheme for Dual-Band Airborne Access Networks 

      Zhang, Ruonan; Guo, Qi; Zhai, Daosen; Zhou, Deyun; Du, Xiaojiang; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      The aerial base stations (ABSs) can be quickly deployed to provide emergency communications and airborne network infrastructures. How to ensure wide coverage, reliable links, and high throughput for ground users under the ...
    • Coalitional double auction for spatial spectrum allocation in cognitive radio networks 

      Sun, Gaofei; Feng, Xinxin; Tian, Xiaohua; Gan, Xiaoying; Xu, Youyun; ... more authors ( IEEE , 2014 , Article)
      Recently, many dynamic spectrum allocation schemes based on economics are proposed to improve spectrum utilization in cognitive radio networks (CRNs). However, existing mechanisms do not take into account the economic ...
    • Collaborative joint caching and transcoding in mobile edge networks 

      Bilal, Kashif; Baccour, Emna; Erbad, Aiman; Mohamed, Amr; Guizani, Mohsen ( Academic Press , 2019 , Article)
      Video streaming has become a leading consumer of network resources in the last decade. Despite considerable developments, video content providers still face major challenges, which include minimizing data transfer from ...
    • Compress or Interfere? 

      Abdellatif, Alaa Awad; Samara, Lutfi; Mohamed, Amr; Al-Ali, Abdulla; Erbad, Aiman; ... more authors ( IEEE Computer Society , 2019 , Conference Paper)
      Rapid evolution of wireless medical devices and network technologies has fostered the growth of remote monitoring systems. Such new technologies enable monitoring patients' medical records anytime and anywhere without ...
    • Cooperative Secondary Encryption for Primary Privacy Preserving in Cognitive Radio Networks 

      Wang, Dawei; Zhang, Ruonan; Li, Lixin; Men, Shaoyang; Zhou, Deyun; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      Aiming at protecting primary privacy messages and supporting secondary quality-of-service (QoS), we propose a secondary encrypted secure strategy for cognitive radio networks. In this scheme, a primary system directly ...
    • Cooperative Secondary Users selection in Cognitive Radio Ad Hoc Networks 

      Li, Aohan; Han, Guangjie; Shu, Lei; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Secondary Users (SUs) have capability to sense available licensed spectrum in Cognitive Radio Networks (CRNs). Hence, SUs can opportunistically access to the licensed spectrum without disturbing Primary Users (PUs). In ...
    • DDI: Drones Detection and Identification using Deep Learning Techniques 

      AL-EMADI, SARA ABDULRAZAQ (2021 , Master Thesis)
      Drones are becoming increasingly popular not only for recreational purposes but in day-to-day applications in engineering, medicine, logistics, security and others. Besides their useful applications, an alarming concern ...
    • Deep Learning IoT Malware Detection Model for IoMT Edge Devices 

      KHARROUB, SULEIMAN KAYED (2021 , Master Thesis)
      Internet of Things (IoT) is defined as the massive collection of physical devices being connected to the Internet. IoT has a positive impact in multiple fields, such as health, agriculture, and power management sectors by ...
    • Design of Protograph-LDPC-Based BICM-ID for Multi-Level-Cell (MLC) NAND Flash Memory 

      Bu, Yingcheng; Fang, Yi; Han, Guojun; Mumtaz, Shahid; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      In this letter, the optimization of protograph-low-density parity-check (LDPC)-based bit-interleaved coded modulation with iterative detection and decoding (BICM-ID) with anti-Gray mapping is investigated over multi-level-cell ...
    • Distributed Learning-Based Cross-Layer Technique for Energy-Efficient Multicarrier Dynamic Spectrum Access with Adaptive Power Allocation 

      Ben Ghorbel, Mahdi; Hamdaoui, Bechir; Guizani, Mohsen; Khalfi, Bassem ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)
      This paper proposes energy and cross-layer aware resource allocation techniques that allow dynamic spectrum access (DSA) users, by means of learning algorithms, to locate and exploit unused spectrum opportunities effectively. ...
    • DLRT: Deep learning approach for reliable diabetic treatment 

      Rathore, Heena; Al-Ali, Abdulla; Mohamed, Amr; Du, Xiaojiang; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Diabetic therapy or insulin treatment enables patients to control the blood glucose level. Today, instead of physically utilizing syringes for infusing insulin, a patient can utilize a gadget, for example, a Wireless Insulin ...
    • Dual-polarized spatial-temporal propagation measurement and modeling in uma o2i scenario at 3.5 GHz 

      Zhang, Ruonan; Xu, Haochen; Du, Xiaojiang; Zhou, Deyun; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      Outdoor-to-indoor (O2I) coverage in urban areas by using the sub-6 GHz (sub-6G) band is important in the fifth generation (5G) mobile communication system. The spatial-temporal propagation characteristics in different ...
    • Dynamic users assignment and bandwidth allocation for energy efficient hybrid powered communication systems 

      Touzri, Taha; Ghorbel, Mahdi Ben; Hamdaoui, Bechir; Guizani, Mohsen; Khalfi, Bassem ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      In this paper, we aim to encourage the use of renewable power in communication systems through hybrid powering. The problem consists of optimizing the resource allocation problem using the hybrid powering from renewable ...
    • Efficient EEG mobile edge computing and optimal resource allocation for smart health applications 

      Al-Marridi, Abeer Z.; Mohamed, Amr; Erbad, Aiman; Al-Ali, Abdulla; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      In the past few years, a rapid increase in the number of patients requiring constant monitoring, which inspires researchers to develop intelligent and sustainable remote smart healthcare services. However, the transmission ...
    • Efficient Usage of Renewable Energy in Communication Systems Using Dynamic Spectrum Allocation and Collaborative Hybrid Powering 

      Touzri, Taha; Ghorbel, Mahdi Ben; Hamdaoui,Bechir; Guizani, Mohsen; Khalfi, Bassem ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)
      In this paper, we introduce a new green resource allocation problem using hybrid powering of communication systems from renewable and nonrenewable sources. The objective is to efficiently allocate the power delivered from ...
    • Empirical performance evaluation of QUIC protocol for Tor anonymity network 

      Basyoni, Lamiaa; Erbad, Aiman; Alsabah, Mashael; Fetais, Noora; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Tor's anonymity network is one of the most widely used anonymity networks online, it consists of thousands of routers run by volunteers. Tor preserves the anonymity of its users by relaying the traffic through a number of ...
    • Energy efficient antenna selection for a MIMO relay using RF energy harvesting 

      Samy, Islam; Butt, M. Majid; Mohamed, Amr; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Energy harvesting has emerged as a promising technique which helps to increase the sustainability of wireless networks. In this paper, we consider a network with a single source, single destination and a single relay ...
    • Energy-efficient cloud resource management 

      Dabbagh, Mehiar; Hamdaoui, Bechir; Guizani, Mohsen; Rayes, Ammar ( IEEE , 2014 , Conference Paper)
      We propose a resource management framework that reduces energy consumption in cloud data centers. The proposed framework predicts the number of virtual machine requests along with their amounts of CPU and memory resources, ...
    • Estimating the number of sources in white Gaussian noise: Simple eigenvalues based approaches 

      Badawy, Ahmed; Salman, Tara; Elfouly, Tarek; Khattab, Tamer; Mohamed, Amr; ... more authors ( Institution of Engineering and Technology , 2017 , Article)
      Estimating the number of sources is a key task in many array signal processing applications. Conventional algorithms such as Akaike's information criterion (AIC) and minimum description length (MDL) suffer from underestimation ...
    • Exploiting wideband spectrum occupancy heterogeneity for weighted compressive spectrum sensing 

      Khalfi, Bassem; Hamdaoui, Bechir; Guizani, Mohsen; Zorba, Nizar ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Compressive sampling has shown great potential for making wideband spectrum sensing possible at sub-Nyquist sampling rates. As a result, there have recently been research efforts that aimed to develop techniques that ...