Results 21 to 30 of about 1,253,160 (268)

Energy Efficiency of Open Radio Access Network: A Survey

open access: yesIEEE Vehicular Technology Conference, 2023
The Open Radio Access Network (O-RAN) architecture has been identified as a promising technology for enhanced network deployment, innovation, improved competition, and reduction of capital and operating expenses (CAPEX/OPEX) of 5G and beyond networks ...
A. Abubakar   +6 more
semanticscholar   +1 more source

Open RAN—Radio Access Network Evolution, Benefits and Market Trends

open access: yesApplied Sciences, 2022
Open RAN (radio access network) movement is perceived as a game changer, having robust potential to introduce shifts in mobile radio access networks towards tailor-made solutions based on the architecture decomposition.
D. Wypiór   +2 more
semanticscholar   +1 more source

Adversarial Machine Learning for Flooding Attacks on 5G Radio Access Network Slicing [PDF]

open access: yes2021 IEEE International Conference on Communications Workshops (ICC Workshops), 2021
Network slicing manages network resources as virtual resource blocks (RBs) for the 5G Radio Access Network (RAN). Each communication request comes with quality of experience (QoE) requirements such as throughput and latency/deadline, which can be met by ...
Yi Shi, Y. Sagduyu
semanticscholar   +1 more source

Double Deep Q-Network-Based Energy-Efficient Resource Allocation in Cloud Radio Access Network

open access: yesIEEE Access, 2021
Cloud radio access network (CRAN) has been shown as an effective means to boost network performance. Such gain stems from the intelligent management of remote radio heads (RRHs) in terms of on/off operation mode and power consumption.
Amjad Iqbal   +2 more
semanticscholar   +1 more source

Energy Saving Technologies and Best Practices for 5G Radio Access Network

open access: yesIEEE Access, 2022
This article identifies energy-saving potential of the fifth generation (5G) Radio Access Network, and describes main energy-saving principles and technologies.
Rumeng Tan   +4 more
semanticscholar   +1 more source

Resource allocation of fog radio access network based on deep reinforcement learning

open access: yesEngineering Reports, 2022
With the development of energy harvesting technologies and smart grid, the future trend of radio access networks will present a multi‐source power supply. In this article, joint renewable energy cooperation and resource allocation scheme of the fog radio
J. Tan, Wenbo Guan
semanticscholar   +1 more source

LDPC Hardware Acceleration in 5G Open Radio Access Network Platforms

open access: yesIEEE Access, 2021
The Open Radio Access Network (RAN) concept has been gaining wide acceptance in recent network architectures, including 5G New Radio (NR) network deployments.
E. Papatheofanous   +2 more
semanticscholar   +1 more source

Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing [PDF]

open access: yesIEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2020
The paper presents a reinforcement learning solution to dynamic resource allocation for 5G radio access network slicing. Available communication resources (frequency-time blocks and transmit powers) and computational resources (processor usage) are ...
Yi Shi, Y. Sagduyu, T. Erpek
semanticscholar   +1 more source

MIRAI Architecture for Heterogeneous Network [PDF]

open access: yes, 2002
One of the keywords that describe next-generation wireless communications is "seamless." As part of the e-Japan Plan promoted by the Japanese Government, the Multimedia Integrated Network by Radio Access Innovation project has as its goal the development
Havinga, Paul J.M.   +2 more
core   +3 more sources

On the stability of flow-aware CSMA [PDF]

open access: yes, 2010
We consider a wireless network where each flow (instead of each link) runs its own CSMA (Carrier Sense Multiple Access) algorithm. Specifically, each flow attempts to access the radio channel after some random time and transmits a packet if the channel ...
Bonald, T., Feuillet, M.
core   +5 more sources

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