최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기Journal of information processing systems, v.16 no.5, 2020년, pp.1048 - 1063
Cho, Soohyun (Dept. of General Studies, Hongik University)
In this study, we propose a reinforcement learning agent to control the data transmission rates of nodes in carrier sensing multiple access with collision avoidance (CSMA/CA)-based wireless networks. We design a reinforcement learning (RL) agent, based on Q-learning. The agent learns the environment...
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
M. J. J. Ghrabat, G. Ma, I. Y. Maolood, S. S. Alresheedi, and Z. A. Abduljabbar, "An effective image retrieval based on optimized genetic algorithm utilized a novel SVM-based convolutional neural network classifier," Human-centric Computing and Information Sciences, vol. 9, article no. 31, 2019.
R. S. Sutton and A. G. Barto, Reinforcement Learning: An Introduction, 2nd ed. Cambridge, MA: MIT Press, 2018.
M. A. Rahman, Y. D. Lee, and I. Koo, "An efficient transmission mode selection based on reinforcement learning for cooperative cognitive radio networks," Human-centric Computing and Information Sciences, vol. 6, article no. 2, 2016.
Y. Bengio, Learning Deep Architectures for AI. Hanover, MA: Now Publishers Inc., 2009.
C. Zhang, P. Patras, and H. Haddadi, "Deep learning in mobile and wireless networking: a survey," IEEE Communications Surveys & Tutorials, vol. 21, no. 3, pp. 2224-2287, 2019.
V. Mnih, K. Kavukcuoglu, D. Silver, A. A. Rusu, J. Veness, M. G. Bellemare, et al., "Human-level control through deep reinforcement learning," Nature, vol. 518, pp. 529-533, 2015.
M. G. Bellemare, Y. Naddaf, J. Veness, and M. Bowling, "The arcade learning environment: an evaluation platform for general agents," Journal of Artificial Intelligence Research, vol. 47, pp. 253-279, 2013.
C. J. Watkins and P. Dayan, "Q-learning," Machine Learning, vol. 8, pp. 279-292, 1992.
Y. Sun and W. Tan, "A trust-aware task allocation method using deep q-learning for uncertain mobile crowdsourcing," Human-centric Computing and Information Sciences, vol. 9, article no. 25, 2019.
OpenAI Gym [Online]. Available: https://gym.openai.com.
P. Gawlowicz and A. Zubow, "Ns-3 meets OpenAI Gym: the playground for machine learning in networking research," in Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Miami Beach, FL, 2019, pp. 113-120).
ns-3 is a discrete-event network simulator [Online]. Available: https://www.nsnam.org/.
IEEE Standard for Telecommunications and Information Exchange Between Systems - LAN/MAN Specific Requirements - Part 11: Wireless Medium Access Control (MAC) and physical layer (PHY) specifications: High Speed Physical Layer in the 5 GHz band, IEEE Std 802.11a-1999(R2003), 2003.
"Rate Adaptation for 802.11 Wireless Networks: Minstrel," 2010 [Online]. Available: http://blog.cerowrt.org/papers/minstrel-sigcomm-final.pdf.
J. Kim, S. Kim, S. Choi, and D. Qiao, "CARA: collision-aware rate adaptation for IEEE 802.11 WLANs," in Proceedings of the 25th IEEE International Conference on Computer Communications (INFOCOM), Barcelona, Spain, 2006.
IEEE Standard for Information technology - Telecommunications and information exchange between systems Local and metropolitan area networks - Specific requirements - Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, IEEE Std 802.11-2016, 2016.
S. Cho, "SINR-based MCS level adaptation in CSMA/CA wireless networks to embrace IoT devices," Symmetry, vol. 9, article no. 236, 2017.
D. Xia, J. Hart, and Q. Fu, "Evaluation of the Minstrel rate adaptation algorithm in IEEE 802.11g WLANs," in Proceedings of 2013 IEEE International Conference on Communications (ICC), Budapest, Hungary, 2013, pp. 2223-2228.
A. Geron, Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. Sebastopol, CA: O'Reilly Media, 2017.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.