최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국정보통신학회논문지 = Journal of the Korea Institute of Information and Communication Engineering, v.26 no.10, 2022년, pp.1517 - 1524
김동현 (School of Electronic and Electrical Engineering, Hankyong National University) , 이인호 (School of Electronic and Electrical Engineering, and Research Center for Hyper-Connected Convergence Technology, Hankyong National University)
In this paper, we consider a heterogeneous network (HetNet) consisting of one macro base station and multiple small base stations, and assume the coordinated multi-point transmission between the base stations. In addition, we assume that the channel between the base station and the user consists of ...
N. Yang, H. Zhang, K. Long, H. Hsieh, and J. Liu, "Deep Neural Network for Resource Management in NOMA Networks," IEEE Transactions on Vehicular Technology, vol. 69, no. 1, pp. 876-886, Jan. 2020.
H. Sun, X. Chen, Q. Shi, M. Hong, X. Fu, and N. D. Sidiropoulos, "Learning to Optimize: Training Deep Neural Networks for Interference Management," IEEE Transactions on Signal Processing, vol. 66, no. 20, pp. 5438-5453, Oct. 2018.
K. N. Doan, M. Vaezi, W. Shin, H. V. Poor, H. Shin, and T. Q. S. Quek, "Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches," IEEE Transactions on Communications, vol. 68, no. 1, pp. 630-644, Jan. 2020.
Y. S. Nasir and D. Guo, "Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks," IEEE Journal on Selected Areas in Communications, vol. 37, no. 10, pp. 2239-2250, Oct. 2019.
D. Kim, H. Jung, and I. -H. Lee, "Deep Learning-Based Power Control Scheme With Partial Channel Information in Overlay Device-to-Device Communication Systems," IEEE Access, vol. 9, pp. 122125-122137, Sep. 2021.
W. Lee and R. Schober, "Deep Learning-Based Resource Allocation for Device-to-Device Communication," IEEE Transactions on Wireless Communications, vol. 21, no. 7, pp. 5235-5250, Jul. 2022.
Q. Ye, B. Rong, Y. Chen, M. Al-Shalash, C. Caramanis, and J. G. Andrews, "User Association for Load Balancing in Heterogeneous Cellular Networks," IEEE Transactions on Wireless Communications, vol. 12, no. 6, pp. 2706-2716, Jun. 2013.
K. M. S. Huq, S. Mumtaz, J. Bachmatiuk, J. Rodriguez, X. Wang, and R. L. Aguiar, "Green HetNet CoMP: Energy Efficiency Analysis and Optimization," IEEE Transactions on Vehicular Technology, vol. 64, no. 10, pp. 4670-4683, Oct. 2015.
D. Kim and I. -H. Lee, "User Association and Power Allocation Scheme Using Deep Learning Algorithmin Non-Orthogonal Multiple Access Based Heterogeneous Networks," Journal of the Korea Institute of Information and Communication Engineering, vol. 26, no. 3, pp. 430- 435, Mar. 2022.
H. Zhang, S. Huang, C. Jiang, K. Long, V. C. M. Leung, and H. V. Poor, "Energy Efficient User Association and Power Allocation in Millimeter-Wave-Based Ultra Dense Networks With Energy Harvesting Base Stations," IEEE Journal on Selected Areas in Communications, vol. 35, no. 9, pp. 1936-1947, Sep. 2017.
R. H. Byrd, M. E. Hribar, and J. Nocedal, "An Interior Point Algorithm for Large-Scale Nonlinear Programming," SIAM Journal on Optimization, vol. 9, no. 4, pp. 877-900, Sep. 1999.
U. F. Siddiqi, S. M. Sait, and M. Uysal, "Deep Reinforcement Based Power Allocation for the Max-Min Optimization in Non-Orthogonal Multiple Access," IEEE Access, vol. 8, pp. 211235-211247, Nov. 2020.
X. Huang, S. Liu, Y. Li, F. Zhu, and Q. Chen, "Dynamic cell selection and resource allocation in cognitive small cell networks," in Proceedings of the 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Valencia, Spain, pp. 1-6, 2016.
A. Kroah and J. A. Hertz, "A simple weight decay can improve generalization," in Proceedings of the Advances in Neural Information Processing, Denver: CO, USA, pp. 951-957, 1991.
S. Ioffe and C. Szegedy, "Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift," in Proceedings of the 32nd International Conference on Machine Learning, Lille, France, pp. 448-456, 2015.
D. P. Kingma and J. Ba. (2014, December). Adam: a method for stochastic optimization [Internet]. Available: http://arxiv.org/abs/1412.6980.
*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.