Advances and Open Problems in Federated Learning
- P. Kairouz, H. B. McMahan, Sen Zhao
- Computer ScienceFound. Trends Mach. Learn.
- 10 December 2019
Motivated by the explosive growth in FL research, this paper discusses recent advances and presents an extensive collection of open problems and challenges.
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
- W. Saad, M. Bennis, Mingzhe Chen
- Computer ScienceIEEE Network
- 26 February 2019
This article identifies the primary drivers of 6G systems, in terms of applications and accompanying technological trends, and identifies the enabling technologies for the introduced 6G services and outlines a comprehensive research agenda that leverages those technologies.
Living on the edge: The role of proactive caching in 5G wireless networks
- Ejder Bastug, M. Bennis, M. Debbah
- Computer ScienceIEEE Communications Magazine
- 23 May 2014
This article explores one of the key enablers of beyond 4G wireless networks leveraging small cell network deployments, proactive caching, and proposes a mechanism whereby files are proactively cached during off-peak periods based on file popularity and correlations among user and file patterns.
Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs
- Mohammad Mozaffari, W. Saad, M. Bennis, M. Debbah
- Computer ScienceIEEE Transactions on Wireless Communications
- 3 September 2015
Simulation and analytical results show that, depending on the density of D2D users, the optimal values for the UAV altitude, which lead to the maximum system sum-rate and coverage probability, exist.
A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems
- Mohammad Mozaffari, W. Saad, M. Bennis, Young-Han Nam, M. Debbah
- Computer ScienceIEEE Communications Surveys and Tutorials
- 2 March 2018
This tutorial provides key guidelines on how to analyze, optimize, and design UAV-based wireless communication systems on the basis of 3D deployment, performance analysis, channel modeling, and energy efficiency.
Mobile Unmanned Aerial Vehicles (UAVs) for Energy-Efficient Internet of Things Communications
- Mohammad Mozaffari, W. Saad, M. Bennis, M. Debbah
- Computer ScienceIEEE Transactions on Wireless Communications
- 15 March 2017
To enable reliable uplink communications for the IoT devices with a minimum total transmit power, a novel framework is proposed for jointly optimizing the 3D placement and the mobility of the UAVs, device-UAV association, and uplink power control.
Ultrareliable and Low-Latency Wireless Communication: Tail, Risk, and Scale
A principled and scalable framework which takes into account delay, reliability, packet size, network architecture and topology, and decision-making under uncertainty is sorely lacking and is a first step to filling this void.
Blockchained On-Device Federated Learning
- Hyesung Kim, Jihong Park, M. Bennis, Seong-Lyun Kim
- Computer ScienceIEEE Communications Letters
- 12 August 2018
An end-to-end latency model of BlockFL is analyzed and the optimal block generation rate is characterized by considering communication, computation, and consensus delays.
Efficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless Coverage
- Mohammad Mozaffari, W. Saad, M. Bennis, M. Debbah
- Computer ScienceIEEE Communications Letters
- 6 June 2016
The results show that, in order to mitigate interference, the altitude of the UAVs must be properly adjusted based on the beamwidth of the directional antenna as well as coverage requirements.
Cache-enabled small cell networks: modeling and tradeoffs
- Ejder Bastug, M. Bennis, M. Debbah
- Computer ScienceInternational Symposium on Wireless Communication…
- 14 May 2014
This work considers a network model where small base stations have caching capabilities as a means to alleviate the backhaul load and satisfy users’ demand, and derives closed-form expressions for the outage probability and the average delivery rate as a function of the signal-to-interference-plus-noise ratio (SINR), SBS density, target file bitrate, storage size, file length, and file popularity.
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