Arjun Parekh

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Artificially Intelligent

Reinforcement Learning

Intelligent Transportation Systems

Stepwise Regression

Top Venues

Publications

Hakan Erdol, Xiaoyang Wang, Robert J. Piechocki, George Oikonomou, Arjun Parekh
xApp Distillation: AI-based Conflict Mitigation in B5G O-RAN. CoRR (2024)
Peizheng Li, Hakan Erdol, Keith Briggs, Xiaoyang Wang, Robert J. Piechocki, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Angela Doufexi, Arjun Parekh
Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning. CoRR (2022)
Peizheng Li, Xiaoyang Wang, Robert J. Piechocki, Shipra Kapoor, Angela Doufexi, Arjun Parekh
Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model. CoRR (2022)
Nicholas J. P. Race, Idris A. Eckley, Ajith Kumar Parlikad, Charalampos Rotsos, Ning Wang, Robert J. Piechocki, Philip Stiles, Arjun Parekh, Trevor Burbridge, Peter Willis, Stephen A. Cassidy
Industry-Academia Research toward Future Network Intelligence: The NG-CDI Prosperity Partnership. IEEE Netw. 36 (1) (2022)
Peizheng Li, Jonathan D. Thomas, Xiaoyang Wang, Ahmed Khalil, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert J. Piechocki
RLOps: Development Life-Cycle of Reinforcement Learning Aided Open RAN. IEEE Access 10 (2022)
Xiaoyang Wang, Jonathan D. Thomas, Robert J. Piechocki, Shipra Kapoor, Raúl Santos-Rodríguez, Arjun Parekh
Self-play learning strategies for resource assignment in Open-RAN networks. Comput. Networks 206 (2022)
Peizheng Li, Hakan Erdol, Keith Briggs, Xiaoyang Wang, Robert J. Piechocki, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Angela Doufexi, Arjun Parekh
Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning. VTC Fall (2022)
Peizheng Li, Jonathan D. Thomas, Xiaoyang Wang, Hakan Erdol, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert J. Piechocki
Sim2real for Reinforcement Learning Driven Next Generation Networks. CoRR (2022)
Peizheng Li, Xiaoyang Wang, Robert J. Piechocki, Shipra Kapoor, Angela Doufexi, Arjun Parekh
Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model. PIMRC (2022)
Peizheng Li, Jonathan D. Thomas, Xiaoyang Wang, Ahmed Khalil, Abdelrahim Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert J. Piechocki
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN. CoRR (2021)
Xiaoyang Wang, Jonathan D. Thomas, Robert J. Piechocki, Shipra Kapoor, Raúl Santos-Rodríguez, Arjun Parekh
Self-play Learning Strategies for Resource Assignment in Open-RAN Networks. CoRR (2021)
Ioannis Mavromatis, Robert J. Piechocki, Mahesh Sooriyabandara, Arjun Parekh
DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems. CoRR (2020)
Ioannis Mavromatis, Robert J. Piechocki, Mahesh Sooriyabandara, Arjun Parekh
DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems. ISCC (2020)