基于流量感知的无线接入网智能切片资源分配方法研究.

赵晨, 张铖, 黄永明 - Journal of Signal Processing, 2024 - search.ebscohost.com
为保障业务服务等级协议(Service Level Agreements, SLA) 需求, 使不同应用间差异化的服务
质量需求同时得到良好满足, 无线接入网(Radio Access Network, RAN) 的动态网络资源配置 …

Deep Reinforcement Learning Based Bandwidth Part Assignment in 5G NR-U

S Dhua, A Kumar, VBE Joseph… - 2024 IEEE 21st …, 2024 - ieeexplore.ieee.org
In order to enhance 5G capability, 3GPP proposed the expansion of NR operation into the
unlicensed spectrum (NR-U). However, channel access in the unlicensed band is …

Machine intelligence in supervising bandwidth allocation for low-latency communications

L Ruan, I Dias, E Wong - 2019 IEEE 20th International …, 2019 - ieeexplore.ieee.org
This paper presents the exploitation of an artificial neural network (ANN) to facilitate insights
into existing bandwidth allocation schemes in optical access networks and supervise …

[PDF][PDF] 基于异步优势演员-评论家学习的服务功能链资源分配算法

唐伦, 贺小雨, 王晓, 谭颀, 胡彦娟, 陈前斌 - 电子与信息学报, 2021 - jeit.ac.cn
考虑网络全局信息难以获悉的实际情况, 针对接入网切片场景下用户终端(UE)
的移动性和数据包到达的动态性导致的资源分配优化问题, 该文提出了一种基于异步优势演员 …

Resq: Reinforcement learning-based queue allocation in software-defined queuing framework

I Maity, T Taleb - Journal of Networking and Network Applications, 2022 - iecscience.org
With the evolution of 5G networks, the demand for Ultra-Reliable Low Latency
Communications (URLLC) services is increasing. Software-Defined Networking (SDN) offers …

基于宽度& 深度学习的基站网络流量预测方法.

陈浩杰, 黄锦, 左兴权, 韩静… - Journal of Zhengzhou …, 2022 - search.ebscohost.com
摘! 要: 针对无线网络流量长期预测问题, 提出一种基于宽度# 深度学习的基站网络流量预测方法.
首先, 利用%.[. U% I 算法和数据平滑方法对网络流量数据进行预处理, 以降低噪声数据对预测的 …

[PDF][PDF] 基于参数化强化学习的车联网内容缓存和功率分配联合优化

雒江涛, 杨和平, 冉泳屹 - 电子与信息学报, 2023 - jeit.ac.cn
车联网场景下的业务内容具有海量和高度动态的特性, 使得传统缓存机制无法较好地感知内容
动态变化, 且巨量接入设备与边缘缓存设备的有限资源之间的矛盾会引起系统时延性能差的问题 …

A deep-learning-based radio resource assignment technique for 5G ultra dense networks

Y Zhou, ZM Fadlullah, B Mao, N Kato - IEEE Network, 2018 - ieeexplore.ieee.org
Recently, deep learning has emerged as a state-of-the-art machine learning technique with
promising potential to drive significant breakthroughs in a wide range of research areas. The …

[引用][C] 网络切片智能配置与资源调度研究

魏凤生 - 2022 - 电子科技大学

[引用][C] 基于深度强化学习的异构云无线接入网资源分配算法研究

管令进 - 2020 - 硕士论文], 重庆邮电大学