Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Parekh, Arjun"'
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:
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, Wang, Xiaoyang, Piechocki, Robert, Kapoor, Shipra, Doufexi, Angela, Parekh, Arjun
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 current mobile network management, evaluation and monitoring. Radio da
Externí odkaz:
http://arxiv.org/abs/2207.00166
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
Autor:
Li, Luning, Herrera, Manuel, Mukherjee, Anandarup, Zheng, Ge, Chen, Chen, Dhada, Maharshi, Brice, Henry, Parekh, Arjun, Parlikad, Ajith Kumar
Publikováno v:
In Expert Systems With Applications 1 January 2025 259
Autor:
Li, Peizheng, Thomas, Jonathan, Wang, Xiaoyang, Khalil, Ahmed, Ahmad, Abdelrahim, Inacio, Rui, Kapoor, Shipra, Parekh, Arjun, Doufexi, Angela, Shojaeifard, Arman, Piechocki, Robert
Publikováno v:
IEEE Access (2022), vol. 10, pp. 113808-113826
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 software-defined orchestration and automation functions for the intell
Externí odkaz:
http://arxiv.org/abs/2111.06978
Autor:
Wang, Xiaoyang, Thomas, Jonathan D, Piechocki, Robert J, Kapoor, Shipra, Santos-Rodriguez, Raul, Parekh, Arjun
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 QoS requirements, such as massive IoT and URLLC. In ORAN, network functi
Externí odkaz:
http://arxiv.org/abs/2103.02649
Autor:
Mukherjee, Anandarup, Herrera, Manuel, Indiran, Hanu Priya, Li, Luning, Brice, Henry, Parekh, Arjun, Parlikad, Ajith Kumar
Publikováno v:
In IFAC PapersOnLine 2024 58(8):103-108
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 development and optimization of Cooperative Intelligent Transportation System
Externí odkaz:
http://arxiv.org/abs/2007.03680
Autor:
Wang, Xiaoyang, Thomas, Jonathan D., Piechocki, Robert J., Kapoor, Shipra, Santos-Rodríguez, Raúl, Parekh, Arjun
Publikováno v:
In Computer Networks 7 April 2022 206