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Deep Reinforcement Learning for Mode Optimization in RF-Powered Backscatter Cognitive Radio Networks
Shanai Wu Minhae Kwon Jin Young Kim Yoan Shin
Vol. 46, No. 2, pp. 246-256, Feb. 2021
10.7840/kics.2021.46.2.246
Vol. 46, No. 2, pp. 246-256, Feb. 2021
10.7840/kics.2021.46.2.246
An Approach to Improve Achievable Secondary Throughput for RF-powered Backscatter Cognitive Radio Networks
Shanai Wu Jin Young Kim Dong In Kim Yoan Shin
Vol. 44, No. 9, pp. 1702-1712, Sep. 2019
10.7840/kics.2019.44.9.1702
Vol. 44, No. 9, pp. 1702-1712, Sep. 2019
10.7840/kics.2019.44.9.1702
Optimal Transmission Time Allocation for RF-Powered Backscatter Cognitive Radio Networks
Yu Min Hwang Sun Yui Lee Young Kyue Sun Isaac Sim Yoan Shin
Dong In Kim Jin Young Kim
Vol. 44, No. 2, pp. 326-329, Feb. 2019
10.7840/kics.2019.44.2.326
Dong In Kim Jin Young Kim
Vol. 44, No. 2, pp. 326-329, Feb. 2019
10.7840/kics.2019.44.2.326
QBD-Based Energy Model for RF-Powered Backscatter Cognitive Radio Networks
Shanai Wu Jin Young Kim Dong In Kim Yoan Shin
Vol. 44, No. 1, pp. 180-189, Jan. 2019
10.7840/kics.2019.44.1.180
Vol. 44, No. 1, pp. 180-189, Jan. 2019
10.7840/kics.2019.44.1.180
Energy Detector Design for Ambient Backscatter Communications
Thu L. N. Nguyen Jung Ho Lee Jin Young Kim Dong In Kim Yoan Shin
Vol. 42, No. 12, pp. 2232-2240, Dec. 2017
10.7840/kics.2017.42.12.2232
Vol. 42, No. 12, pp. 2232-2240, Dec. 2017
10.7840/kics.2017.42.12.2232