What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- The Internet
Ekram Hossain spends much of his time researching Computer network, Wireless network, Cellular network, Wireless and Cognitive radio.
Computer network connects with themes related to Radio resource management in his study.
His Wireless network research includes elements of Channel allocation schemes, Distributed computing and Network congestion.
The various areas that Ekram Hossain examines in his Cellular network study include Theoretical computer science, Femtocell, Base station, LTE Advanced and Spectral efficiency.
His research integrates issues of Access network, Wireless sensor network and Control communications in his study of Wireless.
His Cognitive radio study combines topics in areas such as Mathematical optimization, Nash equilibrium, Radio spectrum and Frequency allocation.
His most cited work include:
- Stochastic Geometry for Modeling, Analysis, and Design of Multi-Tier and Cognitive Cellular Wireless Networks: A Survey (848 citations)
- Introduction to Network Simulator NS2 (739 citations)
- Evolution Towards 5G Multi-tier Cellular Wireless Networks: An Interference Management Perspective (476 citations)
What are the main themes of his work throughout his whole career to date?
Ekram Hossain mostly deals with Computer network, Wireless, Wireless network, Cellular network and Telecommunications link.
His research on Computer network often connects related topics like Communication channel.
His study in Wireless is interdisciplinary in nature, drawing from both Scheduling and Network packet.
His Wireless network research incorporates elements of Radio Link Protocol, Throughput, Automatic repeat request and Distributed computing.
His studies deal with areas such as Power control and Macrocell as well as Cellular network.
Ekram Hossain works mostly in the field of Telecommunications link, limiting it down to topics relating to Code division multiple access and, in certain cases, Data transmission.
He most often published in these fields:
- Computer network (59.63%)
- Wireless (31.65%)
- Wireless network (28.59%)
What were the highlights of his more recent work (between 2018-2021)?
- Wireless (31.65%)
- Wireless network (28.59%)
- Distributed computing (13.00%)
In recent papers he was focusing on the following fields of study:
Ekram Hossain focuses on Wireless, Wireless network, Distributed computing, Telecommunications link and Cellular network.
Ekram Hossain combines subjects such as Adversary, Transmission, Electronic engineering and The Internet with his study of Wireless.
Ekram Hossain interconnects Network architecture, Encryption and Reinforcement learning in the investigation of issues within Wireless network.
His research in Telecommunications link intersects with topics in Algorithm, Throughput and Base station.
His Cellular network study is related to the wider topic of Computer network.
In his research on the topic of Computer network, Process is strongly related with Edge computing.
Between 2018 and 2021, his most popular works were:
- Machine Learning in IoT Security: Current Solutions and Future Challenges (67 citations)
- Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges (46 citations)
- Meta Distribution of SIR in Large-Scale Uplink and Downlink NOMA Networks (41 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Telecommunications
His primary scientific interests are in Wireless, Telecommunications link, Cellular network, Artificial intelligence and Wireless network.
Ekram Hossain has researched Wireless in several fields, including Network topology, Transmission, Random walk and Efficient energy use.
His studies in Telecommunications link integrate themes in fields like Mathematical optimization, Spectral efficiency and Base station.
His Cellular network study is associated with Computer network.
His Computer network research is multidisciplinary, incorporating perspectives in Smart contract and Vehicular ad hoc network.
His Wireless network study incorporates themes from Adversary, Distributed computing, Encryption and Reinforcement learning.
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