Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Melike Erol-Kantarci"'
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 5027-5036 (2024)
Deep reinforcement learning (DRL) has been a key machine learning technique in many 5G and 6G applications. DRL agents learn optimal (or sub-optimal) policies by interacting with the environment. However, this process often involves numerous uninform
Externí odkaz:
https://doaj.org/article/69611c5d9bb84b1bb059b02f12d081e2
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 1222-1242 (2024)
In the midst of rising global population and environmental challenges, smart agriculture emerges as a vital solution by integrating advanced technologies to optimize agricultural practices. Through data-driven insights and automation, it tackles the
Externí odkaz:
https://doaj.org/article/7de61b4689d84e6cadc2edd5a6591fce
Publikováno v:
IEEE Access, Vol 11, Pp 74768-74783 (2023)
Aggregating multiple component carriers (CCs) from different frequency bands, also known as Carrier Aggregation (CA), and Dual Connectivity (DC), i.e., concurrently transmitting and receiving from two nodes or cell groups, are employed in 5G and 6G w
Externí odkaz:
https://doaj.org/article/3b8ce134443945fe86b33a2944859c68
Publikováno v:
Sensors, Vol 23, Iss 20, p 8352 (2023)
Demand response (DR) has been studied widely in the smart grid literature, however, there is still a significant gap in approaches that address security, privacy, and robustness of settlement processes simultaneously. The need for security and robust
Externí odkaz:
https://doaj.org/article/12366421f2a743538c6832a2e3c2096e
Publikováno v:
Engineering, Vol 6, Iss 7, Pp 801-811 (2020)
This paper presents a transactive demand response (TDR) scheme for a network of residential customers with generation assets that emphasizes interoperability within a transactive energy architecture. A complete laboratory-based implementation provide
Externí odkaz:
https://doaj.org/article/4eaba7e02d8e4239860387fa2b6a26c3
Publikováno v:
IEEE Access, Vol 7, Pp 74412-74421 (2019)
This paper proposes a multi-agent Q-learning-based resource allocation algorithm that allows long-term evolution (LTE)-enabled device-to-device (D2D) communication agents to generate the orthogonal transmission schedules outside the network coverage.
Externí odkaz:
https://doaj.org/article/0729f390f3af498aa7608d2d1ad0669c
Publikováno v:
IEEE Access, Vol 7, Pp 37601-37610 (2019)
Smart grid applications, such as teleprotection, synchrophasors, remote condition monitoring, and control of assets, require timely and reliable data communication systems. Many communication architectures and solutions have been proposed to provide
Externí odkaz:
https://doaj.org/article/127cba44fc4f43f4a0d4550ee82dd8cb
Publikováno v:
Sensors, Vol 22, Iss 14, p 5375 (2022)
Starting from the concept of the Cloud Radio Access Network (C-RAN), continuing with the virtual Radio Access Network (vRAN) and most recently with the Open RAN (O-RAN) initiative, Radio Access Network (RAN) architectures have significantly evolved i
Externí odkaz:
https://doaj.org/article/06e0db0c22314221ad5b1916859b4b34
Publikováno v:
Sensors, Vol 22, Iss 13, p 5029 (2022)
Open radio access network (O-RAN) is one of the promising candidates for fulfilling flexible and cost-effective goals by considering openness and intelligence in its architecture. In the O-RAN architecture, a central unit (O-CU) and a distributed uni
Externí odkaz:
https://doaj.org/article/8b7ecfcc75a2476d909da07971aa8cea
Publikováno v:
Energies, Vol 14, Iss 22, p 7481 (2021)
Microgrids are empowered by the advances in renewable energy generation, which enable the microgrids to generate the required energy for supplying their loads and trade the surplus energy to other microgrids or the macrogrid. Microgrids need to optim
Externí odkaz:
https://doaj.org/article/b05a42816f72405c912ee02346bf27d0