Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Erdol, Hakan"'
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 network management applications (xApps) in Open-Radio Access Network (O-RA
Externí odkaz:
http://arxiv.org/abs/2407.03068
Autor:
Erdol, Hakan, Wang, Xiaoyang, Li, Peizheng, Thomas, Jonathan D., Piechocki, Robert, Oikonomou, George, Inacio, Rui, Ahmad, Abdelrahim, Briggs, Keith, Kapoor, Shipra
The vision of 5G lies in providing high data rates, low latency (for the aim of near-real-time applications), significantly increased base station capacity, and near-perfect quality of service (QoS) for users, compared to LTE networks. In order to pr
Externí odkaz:
http://arxiv.org/abs/2209.05874
Autor:
Li, Peizheng, Erdol, Hakan, Briggs, Keith, Wang, Xiaoyang, Piechocki, Robert, Ahmad, Abdelrahim, Inacio, Rui, Kapoor, Shipra, Doufexi, Angela, Parekh, Arjun
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 to users. Recently, machine learning (ML)-based, especially reinforce
Externí odkaz:
http://arxiv.org/abs/2209.13536
Autor:
Li, Peizheng, Thomas, Jonathan, Wang, Xiaoyang, Erdol, Hakan, Ahmad, Abdelrahim, Inacio, Rui, Kapoor, Shipra, Parekh, Arjun, Doufexi, Angela, Shojaeifard, Arman, Piechocki, Robert
The next generation of networks will actively embrace artificial intelligence (AI) and machine learning (ML) technologies for automation networks and optimal network operation strategies. The emerging network structure represented by Open RAN (O-RAN)
Externí odkaz:
http://arxiv.org/abs/2206.03846
Publikováno v:
In Future Generation Computer Systems September 2024 158:183-199
Publikováno v:
2016 39th International Conference on Telecommunications & Signal Processing (TSP); 2016, p108-111, 4p