Information System Laboratory - Research Groups - Faculty & Research - Dept. of Electrical and Computer Engineering, SNU

About the Laboratory & Research Area

Research Interests & Projects

Journals & Patents

[1] H. Ju, S. Kim, Y. Kim, and B. Shim, "Energy-Efficient Ultra-Dense Network with Deep Reinforcement Learning," to appear in IEEE Transactions on Wireless Communications.
[2] L. T. Nguyen, J. Kim, and B. Shim, "Gradual Federated Learning with Simulated Annealing," IEEE Transactions on Signal Processing, vol. 69, pp. 6299-6313, Nov. 2021.
[3] S. Kim, J. Son, and B. Shim, "Energy-Efficient Ultra-Dense Network Using LSTM-based Deep Neural Network," IEEE Transactions on Wireless Communications, vol. 20, no. 7, pp. 4702-4715, July 2021.
[4] J. Kim, L. Nguyen, J. Wang, and B. Shim, "Joint Sparse Recovery Using Signal Space Matching Pursuit," IEEE Transactions on Information Theory, vol. 66, no. 8, pp. 5072-5096, Aug. 2020.
[5] W. Kim, H. Ji, H. Lee, Y. Kim, J. Lee, and B. Shim, "Sparse Vector Transmission: An Idea Whose Time Has Come," IEEE Vehicular Technology Magazine, vol. 15, no. 3, pp. 32-39, Sep. 2020

[6] S. Kim, J. Choi and B. Shim, "Downlink Pilot Precoding and Compressed Channel Feedback for FDD-Based Cell-Free Systems," IEEE Transactions on Wireless Communications, vol. 19, no. 6, pp. 3658-3672, Jun. 2020.
[7] W. Kim, Y. Ahn and B. Shim, "Deep Neural Network Based Active User Detection for Grant-free NOMA Systems," IEEE Transactions on Communications, vol. 68, no. 4, pp. 2143-2155, Apr. 2020.
[8] H. Ji, S. Park and B. Shim, "Sparse Vector Coding for Ultra-Reliable and Low Latency Communications," IEEE Transactions on Wireless Communications, vol. 17, no. 10, pp. 6693-6706, Oct. 2018

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