6 citations · 11 across the 5 of their papers we have counts for
5 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…
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…
Deep Neural Network Based Resource Allocation for V2X Communications
Jin Gao, Muhammad R. A. Khandaker, Faisal Tariq +2
This paper focuses on optimal transmit power allocation to maximize the overall system throughput in a vehicle-to-everything (V2X) communication system. We propose two methods for…