Papers

International Journal

  • [J08] T.-H. Nguyen, and L. Park, “HAP-Assisted RSMA-Enabled Vehicular Edge Computing: A DRL-Based Optimization Framework,” Mathematics, vol. 11, no. 10, 2023.

  • [J07] K. Park, M. Kim, and L. Park, “NeuSaver: Neural Adaptive Power Consumption Optimization for Mobile Video Streaming,” to appear in IEEE Transactions on Mobile Computing, 2022.

  • [J06] D. Kim, D. Kwon, L. Park, J. Kim, and S. Cho, “Multi-Scale LSTM-based Deep Learning for Very-Short-Term Photovoltaic Power Generation Forecasting in Smart City Energy Management,” IEEE Systems Journal, vol. 15, no. 1, pp.346-354, March 2021.

  • [J05] Y. Lee, S. Jeong, A. Masood, L. Park, N.-N. Dao, and S. Cho, “Trustful Resource Management for Service Allocation in Fog-Enabled Intelligent Transportation Systems,” IEEE Access, vol. 8, 147313-147322, August 2020.

  • [J04] L. Park, Y. Yoon, S. Cho, and S. Choi, “Prosumer Energy Management Considering Contract with Consumers under Progressive Pricing Policy,” IEEE Access, vol. 8, pp. 115789 - 115799, June 2020.

  • [J03] L. Park, C. Lee, W. Na, S. Choi, and S. Cho, “Two-Stage Computation Offloading Scheduling Algorithm for Energy-Harvesting Mobile Edge Computing,” Energies, vol. 12, November 2019.

  • [J02] L. Park, C. Lee, J. Kim, A. Mohaisen, and S. Cho, “Two-Stage IoT Device Scheduling with Dynamic Programming for Energy Internet Systems,” IEEE Internet of Things Journal, vol. 6, no, 5, pp. 8782-8791, October 2019.

  • [J01] W. Na, S. Jang, Y. Lee, L. Park, N.-N. Dao, and S. Cho, “Frequency Resource Allocation and Interference Management in Mobile Edge Computing for an Internet of Things System,” IEEE Internet of Things Journal, vol. 6, no. 3, pp. 4910-4920, June 2019.