• A Novel OFDM Waveform with Enhanced Physical Layer Security 

      Samara, Lutfi; Alabbasi, Abubakr O.; Gouissem, Ala; Hamila, Ridha; Al-Dhahir, Naofal ( IEEE , 2021 , Article)
      This letter proposes a secure orthogonal frequency division multiplexing (OFDM) waveform based on two physical-layer secrecy enhancing methods. The first method is time-domain pre-coding that involves interleaving and ...
    • Analysis of In-band Full-Duplex OFDM Signals Affected by Phase Noise and I/Q Imbalance 

      Samara, Lutfi; Ozdemir, Ozgur; Mokhtar, Mohamed; Hamila, Ridha; Khattab, Tamer ( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Conference Paper)
      The idea of the simultaneous transmission and reception of data using the same frequency is a potential candidate to be deployed in the next generation wireless communications standard 5G. The In-Band Full-Duplex (IBFD) ...
    • 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 ...
    • Federated Learning for UAV Swarms under Class Imbalance and Power Consumption Constraints 

      Mrad, Ilyes; Samara, Lutfi; Abdellatif, Alaa Awad; Al-Abbasi, Abubakr; Hamila, Ridha; ... more authors ( IEEE , 2021 , Conference Paper)
      The usage of unmanned aerial vehicles (UAVs) in civil and military applications continues to increase due to the numerous advantages that they provide over conventional approaches. Despite the abundance of such advantages, ...
    • Federated Learning in NOMA Networks: Convergence, Energy and Fairness-Based Design 

      Mrad, Ilyes; Samara, Lutfi; Al-Abbasi, Abubakr; Hamila, Ridha; Erbad, Aiman; ... more authors ( IEEE , 2022 , Conference Paper)
      Federated Learning (FL) is a collaborative machine learning (ML) approach, where different nodes in a network contribute to learning the model parameters. In addition, FL provides several attractive features such as data ...
    • Multiple Relay Selection and Beamforming in Dual-Hop Amplify-and-Forward Relay Networks 

      Gouissem, Ala; Samara, Lutfi; Hamila, Ridha; Al-Dhahir, Naofal; Foufou, Sebti ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      In this paper, the problems of multiple relay selection and beamforming optimization are considered for a dual-hop amplify-and-forward relaying network under individual and total power constraints. The selection is performed ...
    • Phase noise mitigation in OFDMA uplink 

      Samara, Lutfi; Syrjala, Ville; Hamila, Ridha; Valkama, Mikko ( IEEE , 2014 , Conference Paper)
      This paper addresses the problem of the phase noise induced spectral spread in an OFDMA uplink scenario. Accompanied with power differences between the users at the receiver in a multiuser case, the phase noise induced ...
    • Secrecy Performance of Full-Duplex Jamming and Reception under I/Q Imbalance 

      Samara, Lutfi; Hamila, Ridha; Al-Dhahir, Naofal ( IEEE , 2021 , Article)
      Investigating the physical layer security performance of full-duplex (FD) radio transceivers has been the subject of numerous research studies. However, self-interference cancellation that enables full exploitation of FD ...
    • Secure AF Relaying in Power-Constrained UAV Networks 

      Samara, Lutfi; AlAbbasi, Abubakr O.; El Shafie, Ahmed; Hamila, Ridha; Al-Dhahir, Naofal ( IEEE , 2021 , Conference Paper)
      This paper proposes a secure amplify-and-forward (AF) relaying scheme in unmanned aerial vehicle (UAV) networks while accounting for the power consumption limitations of UAVs. Since a UAV's battery life is limited, we ...