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2020 – today
- 2020
[c7]Adrian Jaesim, Nazli Siasi, M. Ababneh, Mohamed Elkourdi, Amro A. Nour
:
Application-Specific Service Function Chain Provisioning in Heterogeneous Fog Networks. IEEE ANTS 2020: 1-6
2010 – 2019
- 2019
- [b1]Mohamed Elkourdi:
Machine Learning, Game Theory Algorithms, and Medium Access Protocols for 5G and Internet-of-Thing (IoT) Networks. University of South Florida, Tampa, USA, 2019 - [c6]Mohamed Elkourdi, Asim Mazin, Richard D. Gitlin:
Performance Analysis for Virtual-Cell Based CoMP 5G Networks Using Deep Recurrent Neural Nets. WTS 2019: 1-6 - 2018
- [c5]Mohamed Elkourdi, Asim Mazin, Richard D. Gitlin:
Towards Low Latency in 5G HetNets: A Bayesian Cell Selection / User Association Approach. 5G World Forum 2018: 268-272 - [c4]Asim Mazin, Mohamed Elkourdi, Richard D. Gitlin:
Comparative Performance Analysis of Beam Sweeping Using a Deep Neural Net and Random Starting Point in mmWave 5G New Radio. UEMCON 2018: 451-456 - [c3]Mohamed Elkourdi, Asim Mazin, Richard D. Gitlin:
Slotted Aloha-NOMA with MIMO Beamforming for Massive M2M Communication in IoT Networks. VTC Fall 2018: 1-5 - [c2]Asim Mazin, Mohamed Elkourdi, Richard D. Gitlin:
Accelerating Beam Sweeping in mmWave Standalone 5G New Radios Using Recurrent Neural Networks. VTC Fall 2018: 1-4 - [c1]Asim Mazin, Mohamed Elkourdi, Richard D. Gitlin:
Comparison of Slotted Aloha-NOMA and CSMA/CA for M2M Communications in IoT Networks. VTC Fall 2018: 1-5 - [i1]Asim Mazin, Mohamed Elkourdi, Richard D. Gitlin:
Accelerating Beam Sweeping in mmWave Standalone 5G New Radios using Recurrent Neural Networks. CoRR abs/1809.01096 (2018)
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