Deep Learning Based Uplink Power Allocation in Multi-Radio Dual Connectivity Heterogeneous Wireless Networks
Published in IEEE 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2024
This paper presents a deep learning based approach for uplink power allocation in multi-radio dual connectivity heterogeneous wireless networks. The research demonstrates how machine learning techniques can be applied to optimize power allocation in complex wireless network environments.
Recommended citation: M. H. Rahman, M. R. Chowdhury, A. Sultana, A. Tripathi and A. P. D. Silva, "Deep Learning Based Uplink Power Allocation in Multi-Radio Dual Connectivity Heterogeneous Wireless Networks," 2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Valencia, Spain, 2024, pp. 1-6, doi: 10.1109/PIMRC59610.2024.10817336.
Download Paper