3 papers
cs.LG2021
Medium Access using Distributed Reinforcement Learning for IoTs with Low-Complexity Wireless Transceivers
Hrishikesh Dutta, Subir Biswas
This paper proposes a distributed Reinforcement Learning (RL) based framework that can be used for synthesizing MAC layer wireless protocols in IoT networks with low-complexity wir…
cs.LG2021
Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis
Hrishikesh Dutta, Subir Biswas
This paper proposes a multi-agent reinforcement learning based medium access framework for wireless networks. The access problem is formulated as a Markov Decision Process (MDP), a…
eess.SP2019
A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks
Yan Shi, Dezhi Feng, Subir Biswas
This paper presents a deep-learning based traffic classification method for identifying multiple streaming video sources at the same time within an encrypted tunnel. The work defin…