Results 71 to 80 of about 438,323 (269)

RETRACTED ARTICLE: Intelligent dynamic spectrum access using fuzzy logic in cognitive radio networks

Discover Applied Sciences
Cognitive radio networks have emerged as a promising solution to the growing problem of spectrum scarcity and inefficient spectrum utilization. By enabling secondary users to opportunistically access underutilized frequency bands while avoiding harmful ...
K. Krishna Kishore, Arun Sekar Rajasekaran, Ismail Keshta, Haewon Byeon, Mohammed Wasim Bhatt, Azeem Irshad, Isaac Ofori   +6 more
doaj   +1 more source

Spectrum occupancy of cognitive radio networks: a queueing analysis using retrial queue

IET Networks, 2014
The authors apply the preemptive priority queueing analysis to cognitive radio networks. Using the proposed analytical model, the authors can quantify the delay, throughput and spectrum occupancy of cognitive radio networks.
Woan Sun Chang, Won Mee Jang
doaj   +1 more source

Meeting Real-Time Constraint of Spectrum Management in TV Black-Space Access [PDF]

, 2017
The TV set feedback feature standardized in the next generation TV system, ATSC 3.0, would enable opportunistic access of active TV channels in future Cognitive Radio Networks.
Zhao, Zhongyuan
core   +3 more sources

Wideband Spectrum Sensing in Cognitive Radio Networks

, 2008
Spectrum sensing is an essential enabling functionality for cognitive radio networks to detect spectrum holes and opportunistically use the under-utilized frequency bands without causing harmful interference to legacy networks.
Cui, Shuguang, Poor, H. Vincent, Quan, Zhi, Sayed, Ali H.   +3 more
core   +1 more source

Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots

Advanced Robotics Research, EarlyView.
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley   +1 more source

Research on Fractional Spaced Equalizer for Short Wave Burst Communication [PDF]

Jisuanji gongcheng, 2016
The short wave channel has characteristics of multipath,fading and time variant.In the equilibrium process,the convergence rate of Liner Equalizer(LE) is slow,the convergence precision is low,and the Fractional Spaced Equalizer(FSE) has better balance ...
YUAN Peng,FU Jielin
doaj   +1 more source

State of the Art, Taxonomy, and Open Issues on Cognitive Radio Networks with NOMA [PDF]

IEEE wireless communications, 2018
The explosive growth of mobile devices and the rapid increase of wideband wireless services call for advanced communication techniques that can achieve high spectral efficiency and meet the massive connectivity requirement.
Fuhui Zhou, Yongpeng Wu, Ying-Chang Liang, Zan Li, Yuhao Wang, Kai‐Kit Wong   +5 more
semanticscholar   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Misbehavior Scenarios in Cognitive Radio Networks

Future Internet, 2010
Recent advances in the fields of Cognitive Radio and the proliferation of open spectrum access promise that spectrum-agile wireless communication will be widespread in the near future, and will bring significant flexibility and potential utility ...
Hermann de Meer, Markus Fiedler, Alexandru Popescu, Jens Oberender, Pantelis A. Frangoudis, Giannis F. Marias, Stamatios Arkoulis, George C. Polyzos   +7 more
doaj   +1 more source

Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects

Advanced Science, EarlyView.
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su, Jian Qin, Hui Shen, Ling‐Li Zeng, Baojuan Li, Jin Liu, Xuemei Song, Li Liu, Weidan Pu, Tongjian Bai, Huaning Wang, Hong Yin, Kai Wang, Lingjiang Li, Dewen Hu   +14 more
wiley   +1 more source