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Walaa Hamouda
Researcher at Concordia University
Publications - 278
Citations - 4778
Walaa Hamouda is an academic researcher from Concordia University. The author has contributed to research in topics: Fading & MIMO. The author has an hindex of 26, co-authored 266 publications receiving 3666 citations. Previous affiliations of Walaa Hamouda include Queen's University & Concordia University Wisconsin.
Papers
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Ultra-Dense Networks: A Survey
TL;DR: This paper provides a survey-style introduction to dense small cell networks and considers many research directions, namely, user association, interference management, energy efficiency, spectrum sharing, resource management, scheduling, backhauling, propagation modeling, and the economics of UDN deployment.
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Advances on Spectrum Sensing for Cognitive Radio Networks: Theory and Applications
Abdelmohsen Ali,Walaa Hamouda +1 more
TL;DR: This survey paper focuses on the enabling techniques for interweave CR networks which have received great attention from standards perspective due to its reliability to achieve the required quality-of-service.
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Resource Allocation for Underlay Cognitive Radio Networks: A Survey
Manal El Tanab,Walaa Hamouda +1 more
TL;DR: A taxonomy that categorizes the RA algorithms proposed in literature based on the approaches, criteria, common techniques, and network architecture is provided and the state-of-the-art resource allocation algorithms are reviewed according to the provided taxonomy.
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A Critical Review of Practices and Challenges in Intrusion Detection Systems for IoT: Toward Universal and Resilient Systems
TL;DR: It is shown how traditional practices for intrusion detection in IoT are unsuitable due to their inherent features providing poor coverage of the IoT domain, and a proposal for future directions in IoT based IDS is presented and evaluated.
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A Water-Filling Based Scheduling Algorithm for the Smart Grid
TL;DR: This paper proposes a method for scheduling a community's power consumption such that it becomes almost flat, which makes it possible to have a relatively constant billing rate and eliminates operational inefficiencies.