Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Arghyadip Roy"'
Publikováno v:
IEEE Access, Vol 12, Pp 131591-131604 (2024)
In distributed Software-defined networking (SDN), control plane functions are partitioned across multiple controller instances to enhance fault tolerance and scalability. However, the dynamic nature of network traffic and rapid network events, such a
Externí odkaz:
https://doaj.org/article/a3fbb8cad34746308e4736e5a2dd633c
Publikováno v:
IEEE Transactions on Mobile Computing. 22:1110-1128
In todays wireless networks, a variety of Radio Access Technologies (RATs) are present. However, each RAT being controlled individually leads to suboptimal utilization of network resources. Due to the remarkable growth of data traffic, interworking a
Publikováno v:
2022 Asia-Pacific Microwave Conference (APMC).
Autor:
Arghyadip Roy, Nilanjan Biswas
Publikováno v:
2022 National Conference on Communications (NCC).
Publikováno v:
IEEE Transactions on Mobile Computing. 19:376-389
In an offload-capable Long Term Evolution (LTE)- Wireless Fidelity (WiFi) Heterogeneous Network (HetNet), we consider the problem of maximization of the total system throughput under voice user blocking probability constraint. The optimal policy is t
Publikováno v:
IEEE Transactions on Vehicular Technology. 67:6446-6460
Heterogeneous network (HetNet) comprises multiple radio access technologies (RATs) allowing a user to associate with a specific RAT and steer to other RATs in a seamless manner. To cope up with the unprecedented growth of data traffic, mobile data ca
Publikováno v:
WiOpt
Today's wireless networks consist of a multitude of Radio Access Technologies (RATs), each being controlled individually, leading to suboptimal utilization of network resources. However, the unprecedented growth of data traffic is creating the need f
Publikováno v:
VALUETOOLS
To overcome the curse of dimensionality and curse of modeling in Dynamic Programming (DP) methods for solving classical Markov Decision Process (MDP) problems, Reinforcement Learning (RL) algorithms are popular. In this paper, we consider an infinite
To overcome the curses of dimensionality and modeling of Dynamic Programming (DP) methods to solve Markov Decision Process (MDP) problems, Reinforcement Learning (RL) methods are adopted in practice. Contrary to traditional RL algorithms which do not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e0256575edf7315a0daee10850206d5
Publikováno v:
5G World Forum
Telecom operators are using a variety of Radio Access Technologies (RATs) for providing services to mobile subscribers. This development has emphasized the requirement for unified control and management of diverse RATs. Although multiple RATs co-exis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2d24e1ba97730392bc04cbb370fdf40