• Outage performance of cooperative systems under IQ imbalance 

      Gouissem A.; Hamila R.; Hasna , Mazen ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Article)
      In this contribution, we investigate the outage performance of OFDM-based Decode and Forward (DF), Amplify and Forward (AF) and Controlled DF (CDF) cooperative systems under IQ Imbalance (IQI). In particular, tractable and ...
    • Outage performance of incremental relaying networks with OFDM subcarriers mapping schemes 

      Gouissem A.; Hasna , Mazen; Hamila R. ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)
      The scarcity of radio resources coupled with the high data rate demands in the last few years, induced incremental relaying techniques one of the most promising technologies. This is simply because it allows reaping spatial ...
    • Outage performance of OFDM Ad-hoc routing with and without subcarrier grouping in multihop network 

      Gouissem A.; Hasna , Mazen; Hamila R.; Besbes H.; Abdelkefi F. ( IEEE , 2012 , Conference Paper)
      In this contribution, we investigate Decode and Forward (DF) OFDM Ad-hoc Routing strategy with bottleneck maximization. We derive the exact outage probability and diversity order for the different scenarios: with and without ...
    • Outage performance of OFDM-based relaying systems under IQ imbalance 

      Gouissem A.; Hamila R.; Hasna , Mazen ( IEEE , 2013 , Conference Paper)
      In the presence of different IQ imbalance (IQI) levels in the different nodes of a cooperative system, it becomes necessary to investigate the effect of each imbalance parameter on the performance. In this contribution, ...
    • Relay selection in FDD amplify-and-forward cooperative networks 

      Gouissem A.; Samara L.; Hamila R.; Al-Dhahir N.; Foufou S. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      In this paper, the problems of relay selection and distributed beamforming are investigated for bi-directional dual-hop amplify-and-forward frequency-division duplex cooperative wireless networks. When using individual ...
    • Robust Decentralized Federated Learning Using Collaborative Decisions 

      Gouissem, A.; Abualsaud, K.; Yaacoub, E.; Khattab, T.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      Federated Learning (FL) has attracted a lot of attention in numerous applications due to recent data privacy regulations and increased awareness about data handling issues, combined with the ever-increasing big-data sizes. ...
    • Secondary users selection and sparse narrow-band interference mitigation in cognitive radio networks 

      Gouissem A.; Hamila R.; Aldhahir N.; Foufou S. ( Elsevier B.V. , 2018 , Article)
      Spectrum scarcity is a critical problem that may reduce the effectiveness of wireless technologies and services. To address this problem, different spectrum management techniques have been proposed in the literature such ...
    • Securing IoT Cooperative Networks Using Energy Harvesting. 

      Gouissem, A.; Abualsaud, K.; Yaacoub, E.; Khattab, T.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      An energy efficient and secure Internet of Things (IoT) healthcare system is proposed in this paper. By exploiting spatial diversity, energy harvesting and physical layer security techniques, the proposed approach secures ...
    • Securing IoT Cooperative Networks Using Energy Harvesting. 

      Gouissem, A.; Abualsaud, K.; Yaacoub, E.; Khattab, T.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      An energy efficient and secure Internet of Things (IoT) healthcare system is proposed in this paper. By exploiting spatial diversity, energy harvesting and physical layer security techniques, the proposed approach secures ...
    • Sparsity-Aware multiple relay selection in large dual-hop decode-And-forward broadband relay networks 

      Gouissem, A.; Hamila, R.; Al-Dhahir, N.; Foufou, S. ( IEEE , 2016 , Conference Paper)
      In this paper, three novel techniques are proposed and investigated for multiple relay selection in dual hop OFDM networks. These techniques are based on the exploitation of sparse signal recovery theory and on carefully-designed ...
    • Sparsity-aware multiple relay selection in large multi-hop decode-and-forward relay networks 

      Gouissem, A.; Hamila, R.; Al-Dhahir, N.; Foufou, S. ( Springer International Publishing , 2016 , Article)
      In this paper, we propose and investigate two novel techniques to perform multiple relay selection in large multi-hop decode-and-forward relay networks. The two proposed techniques exploit sparse signal recovery theory to ...
    • Sparsity-aware narrowband interference mitigation and subcarriers selection in OFDM-based cognitive radio networks 

      Gouissem, A.; Hamila, R.; Al-Dhahir, N.; Foufou, S. ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      In this paper, the performance of an orthogonal frequency division multiplexing overlay cognitive radio network with subcarrier selection schemes is investigated. We propose three subcarrier selection techniques that reduce ...
    • Towards Secure IoT Networks in Healthcare Applications: A Game Theoretic Anti-Jamming Framework 

      Gouissem, A.; Abualsaud, K.; Yaacoub, E.; Khattab, T.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      The internet of Things (IoT) is used to interconnect a massive number of heterogeneous resource constrained smart devices. This makes such networks exposed to various types of malicious attacks. In particular, jamming ...
    • Weighted Trustworthiness for ML Based Attacks Classification 

      Chkirbene Z.; Erbad A.; Hamila R.; Gouissem A.; Mohamed A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Recently, machine learning techniques are gaining a lot of interest in security applications as they exhibit fast processing with real-time predictions. One of the significant challenges in the implementation of these ...