7 citations · 9 across the 5 of their papers we have counts for
5 papers
Learning to Activate Relay Nodes: Deep Reinforcement Learning Approach
Minhae Kwon, Juhyeon Lee, Hyunggon Park
In this paper, we propose a distributed solution to design a multi-hop ad hoc network where mobile relay nodes strategically determine their wireless transmission ranges based on a…
Network Coding Based Evolutionary Network Formation for Dynamic Wireless Networks
Minhae Kwon, Hyunggon Park
In this paper, we aim to find a robust network formation strategy that can adaptively evolve the network topology against network dynamics in a distributed manner. We consider a ne…
Distributed Topology Design for Network Coding Deployed Large-scale Sensor Networks
Minhae Kwon, Hyunggon Park
In this paper, we propose a solution to the distributed topology formation problem for large-scale sensor networks with multi-source multicast flows. The proposed solution is based…
Approximate Decoding Approaches for Network Coded Correlated Data
Hyunggon Park, Nikolaos Thomos, Pascal Frossard
This paper considers a framework where data from correlated sources are transmitted with help of network coding in ad-hoc network topologies. The correlated data are encoded indepe…
Reinforcement Learning in BitTorrent Systems
Rafit Izhak-Ratzin, Hyunggon Park, Mihaela van der Schaar
Recent research efforts have shown that the popular BitTorrent protocol does not provide fair resource reciprocation and may allow free-riding. In this paper, we propose a BitTorre…