29 citations · 35 across the 2 of their papers we have counts for
2 papers
cs.NI2019★ 29 cited
A Deep Q-Learning Method for Downlink Power Allocation in Multi-Cell Networks
Kazi Ishfaq Ahmed, Ekram Hossain
Optimal resource allocation is a fundamental challenge for dense and heterogeneous wireless networks with massive wireless connections. Because of the non-convex nature of the opti…
cs.NI2018★ 6 cited
Deep Learning for Radio Resource Allocation in Multi-Cell Networks
K. I. Ahmed, H. Tabassum, E. Hossain
Increased complexity and heterogeneity of emerging 5G and beyond 5G (B5G) wireless networks will require a paradigm shift from traditional resource allocation mechanisms. Deep lear…