10 citations · 23 across the 19 of their papers we have counts for
4 papers · 1 filter
Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning
Peizheng Li, Hakan Erdol, Keith Briggs +7
Setting the transmit power setting of 5G cells has been a long-term topic of discussion, as optimized power settings can help reduce interference and improve the quality of service…
Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model
Peizheng Li, Xiaoyang Wang, Robert Piechocki +3
Measuring customer experience on mobile data is of utmost importance for global mobile operators. The reference signal received power (RSRP) is one of the important indicators for…
Sim2real for Reinforcement Learning Driven Next Generation Networks
Peizheng Li, Jonathan Thomas, Xiaoyang Wang +8
The next generation of networks will actively embrace artificial intelligence (AI) and machine learning (ML) technologies for automation networks and optimal network operation stra…
Distributed Dimension Reduction for Distributed Massive MIMO C-RAN with Finite Fronthaul Capacity
Fred Wiffen, Woon Hau Chin, Angela Doufexi
The use of a large excess of service antennas brings a variety of performance benefits to distributed MIMO C-RAN, but the corresponding high fronthaul data loads can be problematic…