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Sun Me Kim
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2010 – 2019
- 2018
- [j1]Lin Wang, Xinbo Wang, Massimo Tornatore
, Kwangjoon Kim, Sun Me Kim, Dae-Ub Kim, Kyeong-Eun Han, Biswanath Mukherjee:
Scheduling with Machine-Learning-Based Flow Detection for Packet-Switched Optical Data Center Networks. JOCN 10(4): 365-375 (2018) - 2017
- [c8]Minkyu Sung, Seung-Hyun Cho, Kwang Seon Kim, Heon-Kook Kwon, Byung-Su Kang, Don Sung Oh, Deuk-Su Lyu, Hoon Lee, Sun Me Kim, Jong Hyun Lee, Hwan Seok Chung:
Demonstration of IFoF based 5G mobile fronthaul in 28 GHz millimeter wave testbed supporting giga-bit mobile services. OFC 2017: 1-3 - [c7]Lin Wang, Xinbo Wang, Massimo Tornatore, Kwangjoon Kim, Sun Me Kim, Dae-Ub Kim, Kyeong-Eun Han, Biswanath Mukherjee:
Priority-aware scheduling for packet-switched optical networks in datacenter. ONDM 2017: 1-5 - 2016
- [c6]Kyeong-Eun Han, Taeil Kim, JiWook Youn, Sun Me Kim:
Inter-layer path control with FA-LSP cognitive capability in multi-layer networks. ICTC 2016: 165-170 - [c5]Seung-Hyun Cho, Changyo Han
, Minkyu Sung
, Hwan Seok Chung, Sun Me Kim, Jong Hyun Lee:
Experimental investigations of uplink transmission performances in a mobile fronthaul based on IFoF technique. ICTC 2016: 772-774 - [c4]Minkyu Sung
, Changyo Han
, Seung-Hyun Cho, Hwan Seok Chung, Sun Me Kim, Jong Hyun Lee:
Bandwidth efficient transmission of 96 LTE-A signals with 118-Gb/s CPRI-equivalent rate using 2-GHz frequency span and intermixing mitigation for mobile fronthaul. ICTC 2016: 775-777 - [c3]Changyo Han, Minkyu Sung, Seung-Hyun Cho, Hwan Seok Chung, Sun Me Kim, Jong Hyun Lee:
Impact of dispersion-induced second-order distortion in multi-IFoF-based mobile fronthaul link for C-RAN. OFC 2016: 1-3 - [c2]Seung Hwan Kim, Hwan Seok Chung, Sun Me Kim:
Experimental demonstration of CPRI data compression based on partial bit sampling for mobile front-haul link in C-RAN. OFC 2016: 1-3 - 2012
- [c1]Kwang-Koog Lee, Jeong-dong Ryoo, Sun Me Kim, Jong Hyun Lee:
Effective load balancing in Ethernet rings. NOMS 2012: 482-485
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last updated on 2024-04-25 05:45 CEST by the dblp team
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