7 citations · 26 across the 12 of their papers we have counts for
16 papers
Deep Q-Learning Based Resource Allocation in Interference Systems With Outage Constraint
Saniul Alam, Sadia Islam, Muhammad R. A. Khandaker +3
This correspondence considers the resource allocation problem in wireless interference channel (IC) under link outage constraints. Since the optimization problem is non-convex in n…
Thinking Out of the Blocks: Holochain for Distributed Security in IoT Healthcare
Shakila Zaman, Muhammad R. A. Khandaker, Risala T. Khan +2
The Internet-of-Things (IoT) is an emerging and cognitive technology which connects a massive number of smart physical devices with virtual objects operating in diverse platforms t…
An Automated Contact Tracing Approach for Controlling Covid-19 Spread Based on Geolocation Data from Mobile Cellular Networks
Md. Tanvir Rahman, Risala T. Khan, Muhammad R. A. Khandaker +1
The coronavirus (COVID-19) has appeared as the greatest challenge due to its continuous structural evolution as well as the absence of proper antidotes for this particular virus. T…
Truly Intelligent Reflecting Surface-Aided Secure Communication Using Deep Learning
Yizhuo Song, Muhammad R. A. Khandaker, Faisal Tariq +2
This paper considers machine learning for physical layer security design for communication in a challenging wireless environment. The radio environment is assumed to be programmabl…
UAV-Aided Jamming for Secure Ground Communication with Unknown Eavesdropper Location
Christantus O. Nnamani, Muhammad R. A. Khandaker, Mathini Sellathurai
This paper investigates unmanned aerial vehicle (UAV)-aided jamming technique for enabling physical layer keyless security in scenarios where the exact eavesdropper location is unk…
Learning the Wireless V2I Channels Using Deep Neural Networks
Tian-Hao Li, Muhammad R. A. Khandaker, Faisal Tariq +2
For high data rate wireless communication systems, developing an efficient channel estimation approach is extremely vital for channel detection and signal recovery. With the trend…