Výsledky vyhľadávania - "RADIO networks"

(NAICS 515111): Radio Networks Industry.

Zdroj: United States Radio Networks Industry Report. 2026, p1-205. 205p.

Predmety: *MARKET value, *BUSINESS forecasting, *MARKET segmentation, RADIO networks

Geografický termín: UNITED States

Barnes Reports: United States Radio Networks Industry Report (NAICS 515111).

Zdroj: United States Radio Networks Industry Report. 2025, p1-205. 204p.

Predmety: *RADIO broadcasting, *MARKET segmentation, *SALES, *EMPLOYMENT, RADIO networks

Geografický termín: UNITED States

Hybrid Neutral Architecture for Spectrum Sensing: A Comparative Study of CNN-LSTM and LSTM-DQN in Cognitive Radio Networks.

Autori: Khule, Varsha Mahajan, Manish Soni, Kush a ďalší

Zdroj: Journal of Neonatal Surgery. 2025 Supplement, Vol. 14, p662-666. 5p.

Predmety: *COGNITIVE radio, *RADIO networks, *DEEP learning, *CONVOLUTIONAL neural networks, *SHORT-term memory, *REINFORCEMENT learning

CUDA-supported 5G multi-access edge computing modifications on 5G-air-simulator.

Autori: Erdogan, Hasan Tugrul Ozsoy, Adnan

Zdroj: EURASIP Journal on Wireless Communications & Networking. 4/29/2025, Vol. 2025 Issue 1, p1-19. 19p.

Predmety: *EDGE computing, *RADIO networks, *RESEARCH personnel, *5G networks

Adaptive based machine learning approach for cooperative energy detection in cognitive radio networks.

Autori: Mokhtar, Rania A.¹ (AUTHOR) rania.mohammed@ufv.ca

Zdroj: Journal of Electrical Engineering. Apr2025, Vol. 76 Issue 2, p106-115. 10p.

Predmety: *RADIO networks, *RANDOM forest algorithms, *COGNITIVE radio, *FEATURE extraction, *MACHINE learning, *POWER density

A Modified Active Ensemble Neural Network Using Primary User Emulation Attack in Cognitive Radio Network.

Autori: Biradar, Shilpa Singh, Kishan

Zdroj: International Journal of Image & Graphics. Oct2024, p1. 30p.

Predmety: *COMPUTER network security, RADIO networks, INDEPENDENT variables, SENSITIVITY & specificity (Statistics), DEPENDENT variables, COGNITIVE radio

蜂窝认知网络中的增强加权质心定位算法.

Alternate Title: An Enhanced Weighted Centroid Localization Algorithm in Cellular Cognitive Networks.

Autori: 章 艳 李银波 申 滨

Zdroj: Telecommunication Engineering. 12/28/2024, Vol. 64 Issue 12, p1990-2000. 11p.

Predmety: *CELL phones, *ALGORITHMS, RADIO networks, CENTROID, NEIGHBORS

Adaptive Sampling Point and Q‐Learning–Based Sensing Threshold for Spectrum Energy Detection in Cognitive Radio Networks.

Autori: Boddukuri, Naveen Kumar Pal, Debashish Bandyopadhyay, Ayan Kumar a ďalší

Zdroj: International Journal of Communication Systems. 2/1/2025, Vol. 38 Issue 3, p1-14. 14p.

Predmety: *COGNITIVE radio, *RADIO networks, *THRESHOLD energy, *SIGNAL detection, *SUPPURATION

Optimized multi scale graph neural network with attention mechanism for cooperative spectrum sensing in cognitive radio networks

Autori: P. Nandhini S. Vimalnath

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-24 (2025)

Predmety: Cooperative spectrum sensing, Cognitive radio networks, Multi-scale graph neural network, Dual attention mechanism, Spatial-temporal fusion, Spectrum detection accuracy, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/4fe02ce0f6e74b27b77d825c408f714b

A composite channel hopping algorithm for blind rendezvous in heterogeneous cognitive radio networks.

Autori: Sa, Sangeeta Mahapatro, Arunanshu

Zdroj: Telecommunication Systems. Jul2024, Vol. 86 Issue 3, p417-432. 16p.

Predmety: *MATHEMATICAL analysis, *ALGORITHMS, RADIO networks, COGNITIVE radio, DIFFERENCE sets

Exploiting Spontaneous Transmissions for Broadcasting and Leader Election in Radio Networks.

Autori: CZUMAJ, ARTUR DAVIES, PETER

Zdroj: Journal of the ACM. Mar2021, Vol. 68 Issue 2, p1-22. 22p.

Predmety: *BROADCASTING industry, RADIO networks, ELECTIONS, DIAMETER

Barnes Reports: United States Radio Networks Industry Report (NAICS 515111).

Zdroj: United States Radio Networks Industry Report. 2024, p1-196. 196p.

Predmety: *BUSINESS forecasting, *MARKET value, *EMPLOYMENT forecasting, RADIO networks

Geografický termín: UNITED States

Joint Optimization of Semi-Passive IRS Phase Shifts and NOMA Power Coefficients for Cooperative CRNs

Autori: Mohsin Khan Jawad Mirza Bakhtiar Ali a ďalší

Zdroj: IEEE Transactions on Green Communications and Networking. 9:380-391

Predmety: cognitive radio networks, Intelligent reflecting surface, non-orthogonal multiple access, power allocation, weighted sum-rate

Popis súboru: application/pdf

Development of a Severity-Based Attack Mitigation System in Cognitive Radio Networks Using Blockchain and GFHQDC

Autori: V. Saraswathi R. Dayana

Zdroj: IEEE Access, Vol 13, Pp 51765-51780 (2025)

Predmety: severity-based attack mitigation, frequency hopping, Cognitive radio networks (CRNs), quantum debrock cryptography (QDC), Electrical engineering. Electronics. Nuclear engineering, logistic rational quadratic fuzzy (LRQF), spectrum security, TK1-9971

Prístupová URL adresa: https://doaj.org/article/548c630793fc4e03b64ecf0d474d0572

Intelligent Reflecting Surface-Assisted Cognitive Radio Networks: Recent Trends, Usages, Challenges, and Future Directions

Autori: Usama Mir Ubaid Abbasi Talha Mir a ďalší

Zdroj: IEEE Open Journal of the Communications Society, Vol 6, Pp 5030-5049 (2025)

Predmety: intelligent reflective surfaces, Telecommunication, Cognitive radio networks, TK5101-6720, Transportation and communications, HE1-9990

Prístupová URL adresa: https://doaj.org/article/082c9e212bbe4651ace787f20b60d1cf

Neighbour discovery algorithm for cognitive radio network using blockchain.

Autori: Kumari, Priyanka Murmu, Mahendra Kumar

Zdroj: AIP Conference Proceedings. 2024, Vol. 3209 Issue 1, p1-11. 11p.

Predmety: *RADIO networks, *BLOCKCHAINS, *SCALABILITY, *SCARCITY, *ALGORITHMS, *COGNITIVE radio

Throughput maximization of secondary users transmission in cognitive radio network using artificial neural network comparing with coalition game theory.

Autori: Kiran, Kondapalli Sai Bharathi, P. Shyamala

Zdroj: AIP Conference Proceedings. 2024, Vol. 2871 Issue 1, p1-6. 6p.

Predmety: *ARTIFICIAL neural networks, *RADIO networks, *GAME theory, *RADIO transmitters & transmission, *DATA transmission systems, *COGNITIVE radio

Optimal power allocation using evolutionary game for maximizing throughput of secondary user comparing with Stackelberg game.

Autori: Kumar, Krishna Bharathi, P. Shyamala

Zdroj: AIP Conference Proceedings. 2024, Vol. 2871 Issue 1, p1-5. 5p.

Predmety: *COGNITIVE radio, *RADIO networks, *ALGORITHMS, *GAMES

Spectrum sensing using entropy detection and comparing with Rayleigh fading test to improve the probability of detection.

Autori: Reddy, P. Niranjan Bharathi, P. Shyamala Grace, A. Ezhil

Zdroj: AIP Conference Proceedings. 2024, Vol. 2871 Issue 1, p1-6. 6p.

Predmety: *COGNITIVE radio, *RADIO networks, *STATISTICS, *ENTROPY, *DATA analysis

Revolutionizing cognitive radio networks: Unleashing efficiency through innovative energy detection vs. traditional waveform methods.

Autori: Rizwana, N. Nagaraju, V. Govindaram, A. a ďalší

Zdroj: AIP Conference Proceedings. 2024, Vol. 3161 Issue 1, p1-8. 8p.

Predmety: *RADIO networks, *ENERGY consumption, *SYSTEMS design, *STATISTICAL power analysis, *DATABASES