M
Md. Jahangir Hossain
Researcher at University of Technology, Sydney
Publications - 390
Citations - 7709
Md. Jahangir Hossain is an academic researcher from University of Technology, Sydney. The author has contributed to research in topics: Control theory & AC power. The author has an hindex of 40, co-authored 362 publications receiving 6100 citations. Previous affiliations of Md. Jahangir Hossain include Institut national de la recherche scientifique & Bangladesh University of Engineering and Technology.
Papers
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Optimal and Suboptimal Power Allocation Schemes for OFDM-based Cognitive Radio Systems
TL;DR: An optimal power loading algorithm for an OFDM-based cognitive radio (CR) system is investigated and shows that for a given interference threshold, the proposed optimal scheme allows CR base station to transmit more power in order to achieve a higher transmission rate than the classical loading algorithms.
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Fronthauling for 5G LTE-U Ultra Dense Cloud Small Cell Networks
TL;DR: In this paper, the challenges and requirements of fronthauling in 5G LTE-U UDCSNets are surveyed and compared with optical fiber, millimeter-wave-based unlicensed spectrum, Wi-Fi-based licensed spectrum, and free-space optical-based spectrum.
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Performance of Wireless Powered Amplify and Forward Relaying Over Nakagami- $m$ Fading Channels With Nonlinear Energy Harvester
TL;DR: Performance of wireless powered relay with amplify-and-forward protocol is studied for Nakagami-m fading channels and an analytical expression is derived for the complementary cumulative distribution function (CCDF) of the end- to-end signal-to-noise ratio.
Posted Content
Modeling and Analysis of Uplink Non-Orthogonal Multiple Access (NOMA) in Large-Scale Cellular Networks Using Poisson Cluster Processes
TL;DR: The worst case SIC assumption provides remarkable simplifications in the mathematical analysis and is found to be highly accurate for higher user target rate requirements.
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Opportunistic spectrum scheduling for multiuser cognitive radio: a queueing analysis
TL;DR: A queueing analytic framework to study the data link layer quality-of-service performance measures for cognitive radio users in an infrastructure-based dynamic spectrum access environment and facilitates cross-layer design for improved QoS experience in cognitive radio networks is developed.