A survey of dynamic spectrum allocation based on reinforcement learning algorithms in cognitive radio networks
Author:
Funder
Government of Guangdong Province
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
http://link.springer.com/content/pdf/10.1007/s10462-018-9639-x.pdf
Reference44 articles.
1. Ahmad A, Ahmad S, Rehmani MH, Hassan NU (2015) A survey on radio resource allocation in cognitive radio sensor networks. IEEE Commun Surv Tutor 17(2):888–917
2. Ahmed E, Gani A, Abolfazli S, Yao LJ, Khan SU (2014) Channel assignment algorithms in cognitive radio networks: taxonomy, open issues, and challenges. IEEE Commun Surv Tutor 18(1):795–823
3. Al-Rawi HA, Ng MA, Yau KLA (2015) Application of reinforcement learning to routing in distributed wireless networks: a review. Artif Intell Rev 43(3):381–416
4. Alsarhan A, Agarwal A (2011) Profit optimization in multi-service cognitive mesh network using machine learning. EURASIP J Wirel Commun Netw 1:36
5. Anifantis E, Karyotis V, Papavassiliou S (2012) A markov random field framework for channel assignment in cognitive radio networks. In: 2012 IEEE international conference on pervasive computing and communications workshops (PERCOM workshops). IEEE, pp 770–775
Cited by 69 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. A novel dynamic channel allocation protocol based on data traffic characterization model in CR-IoT network;Telecommunication Systems;2024-07-27
2. DeepAlloc: Deep Learning Approach to Spectrum Allocation in Shared Spectrum Systems;IEEE Access;2024
3. CRDN: Cognitive Radio with Deep Network for Proficient Spectrum Sharing in Massive MIMO Systems;Brazilian Archives of Biology and Technology;2024
4. Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks;IEEE Open Journal of Vehicular Technology;2024
5. Spectrum Allocation Algorithm Based on Improved Chimp Optimization Algorithm;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024
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