Browsing by Author "Mohamed A."
Now showing items 21-40 of 174
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Buffer-aided relaying improves both throughput and end-to-end delay
Hajipour J.; Ruby R.; Mohamed A.; M. Leung V.C. ( Springer International Publishing , 2015 , Article)Buffer-aided relaying has recently attracted a lot of attention due to the improvement in the system throughput. However, a side effect usually deemed is that buffering at relay nodes results in the increase of packet ... -
CAE Adaptive Compression, Transmission Energy and Cost Optimization for m-Health Systems
Al-Marridi A.Z.; Mohamed A.; Erbad A.; Guizani M. ( IEEE Computer Society , 2021 , Conference Paper)The rapid increase in the number of patients requiring constant monitoring inspires researchers to investigate the area of mobile health (m-Health) systems for intelligent and sustainable remote healthcare applications. ... -
CE-D2D: Collaborative and Popularity-aware Proactive Chunks Caching in Edge Networks
Baccour E.; Erbad A.; Mohamed A.; Guizani M.; Hamdi M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Leveraging video caching to collaborative Mobile Edge Computing (MEC) servers is an emerging paradigm, where cloud computing services are extended to edge networks to allocate multimedia contents close to end-users. However, ... -
Centralized and Distributed Cognitive Relay-Selection Schemes for SWIPT Cognitive Networks
Salama A.M.; Samy I.; El Shafie A.; Mohamed A.; Khattab T. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)We investigate the model of a single primary-transceiver pair with multiple secondary-transceiver pairs. The secondary pairs can act as relays for the primary transmitter enabling access to its channel resources. Each ... -
Channel Aware and Queue Aware Scheduling in LTE Uplink
Hajipour J.; Mohamed A.; Leung V.C.M. ( SpringerLink , 2012 , Conference Paper)Long Term Evolution (LTE) uses single carrier frequency division multiple access (SCFDMA) technique as the multiple access scheme in the uplink, due to its low peak to average power ratio (PAPR) compared to orthogonal ... -
Channel secondary random process for robust secret key generation
Badawy A.; Khattab T.; Elfouly T.; Chiasserini C.-F.; Mohamed A.; Trinchero D.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)The broadcast nature of wireless communications imposes the risk of information leakage to adversarial users or unauthorized receivers. Therefore, information security between intended users remains a challenging issue. ... -
Characterization of the indoor-outdoor radio propagation channel at 2.4 GHz
Ahmed I.; Orfali S.; Khattab T.; Mohamed A. ( IEEE , 2011 , Conference Paper)We present the site-specific signal strength measurement results for path loss, shadowing, and fading in 2.4GHz band under typical harsh environment (high temperature 4050 C and humidity 8090%). We use spectrum analyzer ... -
Classification for Imperfect EEG Epileptic Seizure in IoT applications: A Comparative Study
Abualsaud K.; Mohamed A.; Khattab T.; Yaacoub E.; Hasna M.; Guizani M.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Epileptic seizure detection could be detected through investigating the electroencephalography (EEG), which is deemed to be very important for IoT wearable sensor-based health systems. EEG-based classification is crucial ... -
Cognitive Radio Networks with Probabilistic Relaying: Stable Throughput and Delay Tradeoffs
Ashour M.; El-Sherif A.A.; ElBatt T.; Mohamed A. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)This paper studies fundamental throughput and delay tradeoffs in cognitive radio systems with cooperative secondary users. We focus on randomized cooperative policies, whereby the secondary user (SU) serves either its own ... -
Collaborative hierarchical caching and transcoding in edge network with CE-D2D communication
Baccour E.; Erbad A.; Mohamed A.; Guizani M.; Hamdi M. ( Academic Press , 2020 , Article)To support multimedia applications, Mobile Edge Computing (MEC) servers offer storage and computing capacities to handle videos close to end-users. However, the high load in peak hours consumes the limited available bandwidth ... -
Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data
Abdellatif A.A.; Mhaisen N.; Mohamed A.; Erbad A.; Guizani M.; Dawy Z.; Nasreddine W.... more authors ... less authors ( Elsevier B.V. , 2022 , Article)Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data. It is a promising solution for telemonitoring ... -
Comparative simulation for physical layer key generation methods
Saad A.; Mohamed A.; Elfouly T.M.; Khattab T.; Guizani M. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)The paper cogitates about a comparative simulation for various distillation, reconciliation, and privacy amplification techniques that are used to generate secure symmetric physical layer keys. Elementary wireless model ... -
Convolutional Autoencoder Approach for EEG Compression and Reconstruction in m-Health Systems
Al-Marridi A.Z.; Mohamed A.; Erbad A. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)In the last few years, the number of patients with chronic diseases requiring constant monitoring increased rapidly, which motivates researchers to develop scalable remote health applications. Nevertheless, the amount of ... -
Cooperative Q-learning techniques for distributed online power allocation in femtocell networks
Saad, H.; Mohamed, A.; ElBatt, T. ( John Wiley & Sons, Ltd. , 2015 , Article)In this paper, we address the problem of distributed interference management of femtocells that share the same frequency band with macrocells using distributed multi-agent Q-learning. We formulate and solve two problems ... -
Decentralized throughput maximization in cognitive radio wireless mesh networks
El-Sherif A.A.; Mohamed A. ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Article)Scheduling and spectrum allocation are tasks affecting the performance of cognitive radio wireless networks, where heterogeneity in channel availability limits the performance and poses a great challenge on protocol design. ... -
Deep learning and low rank dictionary model for mHealth data classification
Said A.B.; Mohamed A.; Elfouly T.; Abualsaud K.; Harras K. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)In the context of mobile Health (mHealth) applications, data are prone to several sources of contamination which would lead to false interpretation and misleading classification results. In this paper, a robust deep learning ... -
Deep Learning for RF-Based Drone Detection and Identification: A Multi-Channel 1-D Convolutional Neural Networks Approach
Allahham M.S.; Khattab T.; Mohamed A. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Commercial unmanned aerial vehicles, or drones, are getting increasingly popular in the last few years. The fact that these drones are highly accessible to public may bring a range of security and technical issues to ... -
Deep Reinforcement Learning Algorithm for Smart Data Compression under NOMA-Uplink Protocol
Elsayed M.; Badawy A.; El Shafie A.; Mohamed A.; Khattab T. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)One of the highly promising radio access strategies for enhancing performance in the next generation cellular communications is non-orthogonal multiple access (NOMA). NOMA offers a number of advantages including better ... -
Deep Reinforcement Learning for Network Selection over Heterogeneous Health Systems
Chkirbene Z.; Abdellatif A.A.; Mohamed A.; Erbad A.; Guizani M. ( IEEE Computer Society , 2022 , Article)Smart health systems improve our quality oflife by integrating diverse information and technologies into health and medical practices. Such technologies can significantly improve the existing health services. However, ... -
Delay minimization through joint routing and resource allocation in cognitive radio-based mesh networks
El-Sherif A.A.; Mohamed A. ( IEEE , 2012 , Conference Paper)We consider wireless mesh networks in which the nodes are utilizing cognitive radios and try to opportunistically gain access to spectrum resources. In such networks, the timely delivery of the traffic is a challenging ...