Deep Reinforcement Learning-Aided Optimization of Multi-Interface Allocation for Short-Packet Communications-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Deep Reinforcement Learning-Aided Optimization of Multi-Interface Allocation for Short-Packet Communications

Published:2023-06 Issue:3 Volume:9 Page:738-753
ISSN:2332-7731
Container-title:IEEE Transactions on Cognitive Communications and Networking
language:
Short-container-title:IEEE Trans. Cogn. Commun. Netw.

Author:

De Oliveira Hugo¹^ORCID,Kaneko Megumi¹^ORCID,Boukhatem Lila²,Fukuda Ellen Hidemi³^ORCID

Affiliation:

1. Information Systems Architecture Science Research Division, National Institute of Informatics, Tokyo, Japan

2. University Paris-Saclay, CNRS, Laboratoire Interdisciplinaire des Sciences du Numérique, Gif-sur-Yvette, France

3. Graduate School of Informatics, Kyoto University, Kyoto, Japan

Funder

Japan Society for the Promotion of Science

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/6687307/10146027/10059162.pdf?arnumber=10059162

Reference23 articles.

1. Resource Allocation and Slicing Puncture in Cellular Networks With eMBB and URLLC Terminals Coexistence

2. Coordinated Resource Allocations for eMBB and URLLC in 5G Communication Networks

3. A Line-of-Sight probability model for VANETs

4. On the Optimization of User Association and Resource Allocation in HetNets With mm-Wave Base Stations

5. Joint Millimeter Wave and Microwave Resources Allocation in Cellular Networks With Dual-Mode Base Stations

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Geometric Optimization Algorithm for Path Loss Model of Riparian Zone IoT Networks Based on Federated Learning Framework;KSII Transactions on Internet and Information Systems;2024-07-31

2. A novel duplex deep reinforcement learning based RRM framework for next-generation V2X communication networks;Expert Systems with Applications;2023-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3