Novel deep learning framework for wideband spectrum characterization at sub-Nyquist rate-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Novel deep learning framework for wideband spectrum characterization at sub-Nyquist rate

Published:2021-08-28 Issue:7 Volume:27 Page:4727-4746
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Chandhok Shivam,Joshi Himani^ORCID,Subramanyam A. V.,Darak Sumit J.

Funder

Council of Scientific and Industrial Research, India

Science and Engineering Research Board

Department of Science and Technology, Ministry of Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s11276-021-02765-1.pdf

Reference47 articles.

1. Sengupta, S., Chatterjee M. and Ganguly S. (2007). An economic framework for spectrum allocation and service pricing with competitive wireless service providers. IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (Dyspan).

2. Zhang, L., Xiao, M., Wu, G., Alam, M., Liang, Y., & Li, S. (2017). A survey of advanced techniques for spectrum sharing in 5G networks. IEEE Wireless Communications, 24(5), 44–51.

3. López, D., Rivas, E., & Gualdron, O. (2019). Primary user characterization for cognitive radio wireless networks using a neural system based on Deep Learning. Springer Artificial Intelligence Review, 52, 169–195.

4. Han, C., Bicen, A. O., & Akyildiz, I. F. (2015). Multi-ray channel modeling and wideband characterization for wireless communications in the Terahertz Band. IEEE Transactions on Wireless Communications, 14(5), 2402–2412.

5. Poisel, R. A. (2008). Introduction to communication electronic warfare systems. Massachusetts, United States: Artech House Inc.

Cited by 11 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. Deep Learning Based Intelligent Spectrum Sensing in Cognitive Radio Networks;IETE Journal of Research;2024-09-03

2. A Hybrid Deep Learning Based Approach for Spectrum Sensing in Cognitive Radio;Physical Communication;2024-09

3. Enhanced Atrous Convolution-Gated Recurrent Unit for Spectrum Sensing in Cognitive Radio Network;SN Computer Science;2024-08-14

4. Low Complexity High Speed Deep Neural Network Augmented Wireless Channel Estimation;2024 37th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID);2024-01-06

5. TFF_aDCNN: A Pre-Trained Base Model for Intelligent Wideband Spectrum Sensing;IEEE Transactions on Vehicular Technology;2023-10

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