Double Deep Q-Network-Based Energy-Efficient Resource Allocation in Cloud Radio Access Network
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
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
Intelligent Radio Resource Management for Mobile Broadband Networks [PDF]
This thesis studies intelligent spectrum and topology management through transfer learning in mobile broadband networks, to improve the capacity density and Quality of Service (QoS) as well as to reduce the cooperation overhead and energy consumption ...
Zhao, Qiyang
core +6 more sources
Dynamic Spectrum Allocation Method of Shortwave Radio Access Network Based on Graph Coloring Theory [PDF]
Aiming at the problem that the existing fixed spectrum allocation method of shortwave radio access network can not satisfy the new requirement of applying intelligent frequency hopping technology,the spectrum demand of shortwave radio access network ...
DUAN Ruijie,YAO Fuqiang,LI Yonggui,NIU Yingtao,QI Yangyang
doaj +1 more source
Self-Configuration for Radio Access Networks [PDF]
The ongoing work presented in this paper is aimed at bringing self-configuration capabilities into next generation radio access networks. We present the main concepts and architecture of our prototype. We also introduce briefly a novel strategy for foreseeing the outcome of enforcing policies integrating behaviour discovery techniques and finite state ...
Javier Baliosian +6 more
openaire +3 more sources
Power-optimised multi-radio network under varying throughput constraints for rural broadband access [PDF]
The use of complementary radio access technologies within a network allows the advantages of each technology to be combined to overcome individual limitations.
Weiss, Stephan, McGuire, Colin
core +4 more sources
Resource allocation of fog radio access network based on deep reinforcement learning
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
The Open Radio Access Network (RAN) concept has been gaining wide acceptance in recent network architectures, including 5G New Radio (NR) network deployments.
Elissaios Alexios Papatheofanous +2 more
semanticscholar +1 more source
Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing [PDF]
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
The need to cope with the continuously growing number of connected users and the increased demand for mobile broadband services in the Internet of Things has led to the notion of introducing the fog computing paradigm in fifth generation (5G) mobile ...
Nosipho N. Khumalo +2 more
semanticscholar +1 more source

