Ekram Hossain
Electrical and Electronic Engineering · 2007–2021
A researcher in the Science corpus: 27 papers; trusts 201 researchers and is trusted by 44 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 254 citations into it; #706 of 16,539 by trust here, #2,528 by citations
- Computer Networks and Communications — 239 citations into it; #858 of 9,886 by trust here, #855 by citations
- Artificial Intelligence — 172 citations into it
- Signal Processing — 45 citations into it
- Reinforcement Learning — 44 citations into it
- Aerospace Engineering — 39 citations into it
- Computer Vision and Pattern Recognition — 37 citations into it
- Management Science and Operations Research — 23 citations into it
Whom Ekram Hossain trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jeffrey G. Andrews
- Martin Haenggi
- Richard S. Sutton
- Hesham Elsawy
- Vikram Chandrasekhar
- Ronald J. Williams
- François Baccelli
- Simon S. Haykin
- Geoffrey E. Hinton
- Chengchao Liang
Who trusts Ekram Hossain overall
- Hesham Elsawy
- Jeffrey G. Andrews
- Tadilo Endeshaw Bogale
- M. Di Renzo
- Ahmed Hamdi Sakr
- Mohamed-Slim Alouini
- Shree Krishna Sharma
- Yuanwei Liu
- Chenchen Yang
- Xin Kang
Papers from Ekram Hossain's perspective
Ordered by how strongly the researchers Ekram Hossain trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Reinforcement Learning: An Introduction
Their papers
- Multi-Tier Drone Architecture for 5G/B5G Cellular Networks: Challenges, Trends, and Prospects (2017) — 314 citations
- Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial (2020) — 359 citations
- Competitive spectrum sharing in cognitive radio networks: a dynamic game approach (2008) — 351 citations
- Evolution toward 5G multi-tier cellular wireless networks: An interference management perspective (2014) — 642 citations
- Random access for machine-to-machine communication in LTE-advanced networks: issues and approaches (2013) — 555 citations
- On Stochastic Geometry Modeling of Cellular Uplink Transmission With Truncated Channel Inversion Power Control (2014) — 258 citations
- Dynamic User Clustering and Power Allocation for Uplink and Downlink Non-Orthogonal Multiple Access (NOMA) Systems (2016) — 763 citations
- Stochastic Geometry for Modeling, Analysis, and Design of Multi-Tier and Cognitive Cellular Wireless Networks: A Survey (2013) — 974 citations
- Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains (2017) — 1,001 citations
- Cognitive and Energy Harvesting-Based D2D Communication in Cellular Networks: Stochastic Geometry Modeling and Analysis (2014) — 309 citations
- Competitive Pricing for Spectrum Sharing in Cognitive Radio Networks: Dynamic Game, Inefficiency of Nash Equilibrium, and Collusion (2008) — 569 citations
- Analytical Modeling of Mode Selection and Power Control for Underlay D2D Communication in Cellular Networks (2014) — 344 citations
- 5G cellular: key enabling technologies and research challenges (2015) — 566 citations
- Resource allocation for spectrum underlay in cognitive radio networks (2008) — 469 citations
- Resource allocation for device-to-device communications underlaying LTE-advanced networks (2013) — 415 citations
- Dynamics of Multiple-Seller and Multiple-Buyer Spectrum Trading in Cognitive Radio Networks: A Game-Theoretic Modeling Approach (2009) — 388 citations
- Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges (2019) — 324 citations
- Game-theoretic resource allocation methods for device-to-device communication (2014) — 346 citations
- Interference management in OFDMA femtocell networks: issues and approaches (2012) — 424 citations
- Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G (2021) — 551 citations