السجلات المعروضة 241 -- 260 من 278

    • Power consumption in spatial cognition 

      Odeh, Maha; Zorba, Nizar; Verikoukis, Christos ( wiley , 2013 , Article)
      Multiple input multiple output adds a new dimension to be exploited in cognitive radio by simultaneously serving several users. The spatial domain that is added through multiple input multiple output is another system ...
    • Enhanced service delivery for cognitive systems within multiple antenna scenarios 

      Hassouneh, Nisreen; Odeh, Maha; Zorba, Nizar; Hassanein, Hossam S. ( IEEE Computer Society , 2013 , Conference)
      Multiple Input Multiple Output (MIMO) is a well established technology that when jointly considered with Cognitive Radio (CR) it will create interactions that need to be optimized. The capability to provide service to more ...
    • Opportunistic bi-directional scheduling under quality of experience demands 

      Zorba, Nizar; Yaacoub, Elias; El-Hajj, Ahmad M.; Dawy, Zaher; Verikoukis, Christos ( Association for Computing Machinery , 2013 , Conference)
      Quality of Experience (QoE) is a very important metric in wireless communication systems, where customers request strict QoE demands that translate into restrictions on both Uplink (UL) and Downlink (DL) connections. The ...
    • 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)
      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 ...
    • Can dynamic pricing make femto users and service providers happy? 

      Khabazian, Mehdi; Zorba, Nizar; Hassanein, Hossam S. ( IEEE Computer Society , 2013 , Conference)
      Femtocell is a promising technology that will improve wireless resources efficiency through frequency spatial reuse however, its integration with the current cellular systems has been considered a fundamental challenge. ...
    • Energy efficient techniques for 802.11n multiuser MAC WLANs 

      Gajic, Danica; Kartsakli, Elli; Zorba, Nizar; Liß, Christian; Alonso, Luis; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2013 , Conference)
      In this paper we evaluate the energy efficiency of MIMO technologies introduced in the emerging IEEE 802.11n standard for infrastructure based WLANs. The main focus is on exploiting multiuser capabilities of MIMO technologies, ...
    • Quality of experience for spatial cognitive systems within multiple antenna scenarios 

      Imran, Reema; Odeh, Maha; Zorba, Nizar; Verikoukis, Christos ( IEEE , 2013 , Article)
      Multiple Input Multiple Output (MIMO) adds a new dimension, the spatial one, to be optimized in Cognitive Radio (CR) by offering service simultaneously to more than one user. In this paper, statistical optimization techniques ...
    • Power management in multiuser adaptive modulation transmission under QoS requirements 

      Althunibat, Saud; Zorba, Nizar; Skianis, Charalabos; Verikoukis, Christos ( wiley , 2013 , Article)
      A transmitter power management mechanism is presented in this paper where Multiple-Input Multiple-Output (MIMO) Multiuser Random Beamforming with Adaptive Modulation strategy is performed by the system. The objective of ...
    • Energy optimization in multiuser quantized feedback systems 

      Althunibat, Saud; Zorba, Nizar; Granelli, Fabrizio; Verikoukis, Christos ( Springer Nature , 2013 , Article)
      This article explores the effects of quantization of feedback information on energy consumption in multiuser wireless communication systems. In order to optimize the energy consumption of the system, the article concentrates ...
    • Enhanced connectivity in vehicular ad-hoc networks via V2V communications 

      Yaacoub, Elias; Zorba, Nizar ( IEEE , 2013 , Conference)
      Vehicle to vehicle (V2V) communications to enhance the downlink and uplink connectivity in vehicular networks are studied. Effective rate formulations for the uplink and downlink directions are presented and analyzed, while ...
    • A new MAC design in LTE for MIMO multiuser schemes 

      Imran, Reema; Zorba, Nizar; Yaacoub, Elias; Hassanein, Hossam S.; Verikoukis, Christos ( IEEE , 2013 , Conference)
      Long Term Evolution (LTE) supports closed-loop Multiple Input Multiple Output (MIMO) techniques, as a mechanism to improve system performance. An open topic since the appearance of MIMO is whether the feedback load, that ...
    • Energy optimization in unsynchronized TDD systems for joint uplink downlink scheduling 

      Zorba, Nizar; Yaacoub, Elias; Verikoukis, Christos ( IEEE , 2013 , Conference)
      Energy is an important resource in wireless communications systems that has to be optimized in order to guarantee low interference in the network as well as efficient use of the available resources. One of the prominent ...
    • Grassmannian beamforming for Coordinated Multipoint transmission in multicell systems 

      Zorba, Nizar; Hassanein, Hossam S. ( IEEE Computer Society , 2013 , Conference)
      Wireless communications suffer from the problem of interference, where undesired signals reach the destination and cause its performance to degrade. Several mechanisms have been proposed over the last years to mitigate the ...
    • Enhancing the quality of experience of video streaming in LTE networks using distributed antenna systems 

      Yaacoub, Elias; Zorba, Nizar ( IEEE , 2013 , Conference)
      Video transmission over long term evolution (LTE) networks is studied. The use of distributed antenna systems (DAS) is proposed to enhance the video quality of experience (QoE). Real time video streaming over both the ...
    • Green handover with a hybrid satisfaction mechanism 

      Zorba, Nizar; Hassanein, Hossam S.; Verikoukis, Christos ( IEEE Computer Society , 2013 , Conference)
      Green communications have emerged as one of the most important trends in wireless communications because of its several advantages of interference reduction, battery life increase and electrical bill cut. Its application ...
    • Visual crowd analysis: Open research problems 

      Khan, Muhammad Asif; Menouar, Hamid; Hamila, Ridha ( John Wiley and Sons Inc , 2023 , Article)
      Over the last decade, there has been a remarkable surge in interest in automated crowd monitoring within the computer vision community. Modern deep-learning approaches have made it possible to develop fully automated ...
    • Realization of dual-hop networks in Wi-Fi direct and performance evaluation 

      Khan, Muhammad Asif; Cherif, Wael; Filali, Fethi; Hamila, Ridha ( IEEE , 2017 , Conference)
      Wireless LANs are used as a common choice of Internet access at homes, offices, campuses and public areas such as airports and supermarkets. Wireless LANs support device-to-device (D2D) communication using ad-hoc mode, ...
    • RL-CEALS: Reinforcement Learning for Collaborative Edge Assisted Live Streaming 

      Mrad, Ilyes; Baccour, Emna; Hamila, Ridha; Khan, Muhammed Asif; Erbad, Aiman; ... more authors ( IEEE , 2023 , Conference)
      Crowdsourced live streaming services (CLS) present significant challenges due to massive data size and dynamic user behavior. Service providers must accommodate personalized QoE requests, while managing computational burdens ...
    • DroneNet: Crowd Density Estimation using Self-ONNs for Drones 

      Khan, Muhammad Asif; Menouar, Hamid; Hamila, Ridha ( IEEE , 2023 , Conference)
      Video surveillance using drones is both convenient and efficient due to the ease of deployment and unobstructed movement of drones in many scenarios. An interesting application of drone-based video surveillance is to ...
    • CLIP: Train Faster with Less Data 

      Khan, Muhammad Asif; Hamila, Ridha; Menouar, Hamid ( IEEE , 2023 , Conference)
      Deep learning models require an enormous amount of data for training. However, recently there is a shift in machine learning from model-centric to data-centric approaches. In datacentric approaches, the focus is to refine ...