activity
20202024
most citedSelf-play Learning Strategies for Resource Assignment in Open-RAN Networks

4 citations · 9 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NI2024

xApp Distillation: AI-based Conflict Mitigation in B5G O-RAN

Hakan Erdol, Xiaoyang Wang, Robert Piechocki +2

The advancements of machine learning-based (ML) decision-making algorithms created various research and industrial opportunities. One of these areas is ML-based near-real-time netw…

cs.NI2022

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…

cs.NI2022★ 1 cited

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…

cs.LG2022★ 2 cited

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…

cs.NI2021★ 2 cited

RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN

Peizheng Li, Jonathan Thomas, Xiaoyang Wang +8

Radio access network (RAN) technologies continue to evolve, with Open RAN gaining the most recent momentum. In the O-RAN specifications, the RAN intelligent controllers (RICs) are…

cs.NI2021★ 4 cited

Self-play Learning Strategies for Resource Assignment in Open-RAN Networks

Xiaoyang Wang, Jonathan D Thomas, Robert J Piechocki +3

Open Radio Access Network (ORAN) is being developed with an aim to democratise access and lower the cost of future mobile data networks, supporting network services with various Qo…

cs.NI2020

DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems

Ioannis Mavromatis, Robert J. Piechocki, Mahesh Sooriyabandara +1

In a world where Artificial Intelligence revolutionizes inference, prediction and decision-making tasks, Digital Twins emerge as game-changing tools. A case in point is the develop…