• A Data-Driven Self-Optimization Solution for Inter-Frequency Mobility Parameters in Emerging Networks 

      Umar Bin Farooq, Muhammad; Manalastas, Marvin; Raza, Waseem; Zaidi, Syed Muhammad Asad; Rizwan, Ali; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      Densification and multi-band operation means inter-frequency handovers can become a bottleneck for mobile user experience in emerging cellular networks. The challenge is aggravated by the fact that there does not exist a ...
    • A Framework to Address Mobility Management Challenges in Emerging Networks 

      Zaidi, Syed Muhammad Asad; Farooq, Hasan; Rizwan, Ali; Abu-Dayya, Adnan; Imran, Ali ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)
      The key enablers for emerging cellular networks (such as densification, concurrent operation at multiple bands, and harnessing mmWave spectrum), give birth to a peculiar set of new network management challenges. One such ...
    • A Generic Spatiotemporal UAV Scheduling Framework for Multi-Event Applications 

      Ghazzai, Hakim; Kadri, Abdullah; Ben Ghorbel, Mahdi; Menouar, Hamid; Massoud, Yehia ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      In this paper, a generic scheduling framework to manage a fleet of micro unmanned aerial vehicles (UAVs) is proposed. The objective is to employ multiple UAVs in sequential and parallel ways to cover spatially and temporally ...
    • A Hybrid Deep Learning-Based (HYDRA) Framework for Multifault Diagnosis Using Sparse MDT Reports 

      Riaz, Muhammad Sajid; Qureshi, Haneya Naeem; Masood, Usama; Rizwan, Ali; Abu-Dayya, Adnan; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      Diminishing viability of manual fault diagnosis in the increasingly complex emerging cellular network has motivated research towards artificial intelligence (AI)-based fault diagnosis using the minimization of drive test ...
    • A Hybrid Energy Sharing Framework for Green Cellular Networks 

      Farooq, Muhammad Junaid; Ghazzai, Hakim; Kadri, Abdullah; ElSawy, Hesham; Alouini, Mohamed-Slim ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Cellular operators are increasingly turning toward renewable energy (RE) as an alternative to using traditional electricity in order to reduce operational expenditure and carbon footprint. Due to the randomness in both RE ...
    • A novel energy saving MIMO mechanism in LTE systems 

      Imran, Reema; Shukair, Mutaz; Zorba, Nizar; Kubbar, Osama; Verikoukis, Christos ( Institute of Electrical and Electronics Engineers Inc. , 2013 , Conference Paper)
      Long Term Evolution (LTE) supports closed-loop MIMO techniques to improve its performance, but in order to exploit multiuser MIMO channel capabilities, the design of an efficient MAC scheme that supports Multiuser MIMO is ...
    • A novel multi-hop body-To-body routing protocol for disaster and emergency networks 

      Ben Arbia, Dhafer; Alam, Muhammad Mahtab; Attia, Rabah; Ben Hamida, Elye ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      In this paper, a new multi-hop routing protocol (called ORACE-Net) for disaster and emergency networks is proposed. The proposed hierarchical protocol creates an ad-hoc network through body-To-body (B2B) communication ...
    • A time-varied probabilistic ON/OFF switching algorithm for cellular networks 

      Ben Rached, Nadhir; Ghazzai, Hakim; Kadri, Abdullah; Alouini, Mohamed-Slim ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)
      In this letter, we develop a time-varied probabilistic on/off switching planning method for cellular networks to reduce their energy consumption. It consists in a risk-aware optimization approach that takes into consideration ...
    • A Zero-Touch Network Service Management Approach Using AI-Enabled CDR Analysis 

      Rizwan, Ali; Jaber, Mona; Filali, Fethi; Imran, Ali; Abu-Dayya, Adnan ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      The detection of cells with sub-optimal performance and the identification of the root-cause of such performance is a crucial and challenging task in Network Performance Management (NPM). The contemporary NPM approaches, ...
    • Achievable Rates of UAV-Relayed Cooperative Cognitive Radio MIMO Systems 

      Sboui, Lokman; Ghazzai, Hakim; Rezki, Zouheir; Alouini, Mohamed-Slim ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      We study the achievable rate of an uplink MIMO cognitive radio system where the primary user (PU) and the secondary user (SU) aim to communicate to the closest primary base station (BS) via a multi-access channel through ...
    • Addressing Data Sparsity with GANs for Multi-fault Diagnosing in Emerging Cellular Networks 

      Rizwan, A.; Abu-Dayya, A.; Filali, F.; Imran, A. ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      Data-driven machine learning is considered a means to address the paramount challenge of timely fault diagnosis in modern and futuristic ultra-dense and highly complex mobile networks. Whereas diagnosing multiple faults ...
    • An adaptive Kalman filter based traffic prediction algorithm for urban road network 

      Mir, Zeeshan Hameed; Filali, Fethi ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Frequent traffic congestion and gridlocks are causing global economies staggering cost in terms of fuel consumption, time wastage, and public health. To rectify this problem, many advocates combining Information and ...
    • An Energy Efficient Overlay Cognitive Radio Approach in UAV-Based Communication 

      Ghorbel, Mahdi Ben; Ghazzai, Hakim; Kadri, Abdullah; Hossain, Md. Jahangir; Menouar, Hamid ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      Most of the drone-based applications require a time-limited access to the spectrum to complete data transmission due to limited battery capacity of these flying units. This paper proposes an efficient spectrum and energy ...
    • An exploratory search strategy for data routing in flying ad hoc networks 

      Ghazzai, Hakim; Feidi, Awatef; Menouar, Hamid; Ammari, Mohamed Lassaad ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      This paper investigates the problem of data routing in flying ad hoc networks (FANETs) composed of multiple flying nodes, i.e., unmanned aerial vehicles (UAVs), supported by communication platforms. The objective is to ...
    • An Improved Dilated Convolutional Network for Herd Counting in Crowded Scenes 

      Hamrouni, Soufien; Ghazzai, Hakim; Menouar, Hamid; Massoud, Yehia ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Crowd management technologies that leverage computer vision are widespread in contemporary times. There exists many security-related applications of these methods, including, but not limited to: following the flow of an ...
    • Analyzing Riding Activities on the World's Longest Continuous Cycling Path Using Non-Intrusive IoT Sensors 

      Filali, Fethi; Tayeb, Fatima; Chihaoui, Hamadi ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      On February 2020, Qatar entered the Guinness World Record by opening the world's longest continuous cycling track developed by the Public Works Authority - Ashghal. Gaining insights of the usage of the so called Olympic ...
    • Bluetooth-Based Vehicle Counting: Bridging the Gap to Ground-Truth With Machine Learning 

      Tayeb, Fatima; Chihaoui, Hamadi; Filali, Fethi ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)
      Traffic flow, number of vehicles passing a particular point over a given period of time, is an essential indicator for evaluating the performance and condition of road networks, detecting congestion, and predicting traffic ...
    • Deep Learning-based Framework for Multi-Fault Diagnosis in Self-Healing Cellular Networks 

      Riaz, Muhammad Sajid; Qureshi, Haneya Naeem; Masood, Usama; Rizwan, Ali; Abu-Dayya, Adnan; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      Fault diagnosis is turning out to be an intense challenge due to the increasing complexity of the emerging cellular networks. The root-cause analysis of coverage-related network anomalies is traditionally carried out by ...
    • Dynamic spectrum management in green cognitive radio cellular networks 

      Sboui, Lokman; Ghazzai, Hakim; Rezki, Zouheir; Alouini, Mohamed-Slim ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      In this paper, we propose a new cellular network operation scheme fulfilling the 5G requirements related to spectrum management and green communications. We focus on cognitive radio cellular networks in which both the ...
    • Effective Urban Structure Inference from Traffic Flow Dynamics 

      Sarkar, Somwrita; Chawla, Sanjay; Ahmad, Shameem; Srivastava, Jaideep; Hammady, Hosam; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Mobility in a city is represented as traffic flows in and out of defined urban travel or administrative zones. While the zones and the road networks connecting them are fixed in space, traffic flows between pairs of zones ...