1 citations · 1 across the 5 of their papers we have counts for
5 papers
Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification
Hyun-Suk Lee, Do-Yup Kim, Kyungsik Min
This paper presents a groundbreaking self-improving interference management framework tailored for wireless communications, integrating deep learning with uncertainty quantificatio…
Dynamic Joint Scheduling of Anycast Transmission and Modulation in Hybrid Unicast-Multicast SWIPT-Based IoT Sensor Networks
Do-Yup Kim, Chae-Bong Sohn, Hyun-Suk Lee
The separate receiver architecture with a time- or power-splitting mode, widely used for simultaneous wireless information and power transfer (SWIPT), has a major drawback: Energy-…
Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning
Do-Yup Kim, Da-Eun Lee, Ji-Wan Kim +1
In this paper, we examine cloud-edge-terminal IoT networks, where edges undertake a range of typical dynamic scheduling tasks. In these IoT networks, a central policy for each task…
Low-Complexity Dynamic Resource Scheduling for Downlink MC-NOMA Over Fading Channels
Do-Yup Kim, Hamid Jafarkhani, Jang-Won Lee
In this paper, we investigate dynamic resource scheduling (i.e., joint user, subchannel, and power scheduling) for downlink multi-channel non-orthogonal multiple access (MC-NOMA) s…
Low-complexity joint user and power scheduling in downlink NOMA over fading channels
Do-Yup Kim, Hamid Jafarkhani, Jang-Won Lee
Non-orthogonal multiple access (NOMA) has been considered one of the most promising radio access techniques for next-generation cellular networks. In this paper, we study the joint…