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Publication search results
found 33 matches
- 2024
- Latifah Almuqren, Mohammed Maray, Faiz Abdullah A Alotaibi, Abdulrahman Alzahrani, Ahmed Mahmud, Mohammed Rizwanullah:
Optimal Deep Learning Empowered Malicious User Detection for Spectrum Sensing in Cognitive Radio Networks. IEEE Access 12: 35300-35308 (2024) - Mingdong Xu, Yanlong Zhao, Rui Zhang, Zhendong Yin, Zhilu Wu:
A Reliable Spectrum Sensing Method Based on Deep Learning for Primary User Emulation Attack Detection in Cognitive Radio Network. IEEE Commun. Lett. 28(3): 547-551 (2024) - Luxin Zhang, Shilian Zheng, Kunfeng Qiu, Caiyi Lou, Xiaoniu Yang:
MASSnet: Deep-Learning-Based Multiple-Antenna Spectrum Sensing for Cognitive-Radio-Enabled Internet of Things. IEEE Internet Things J. 11(8): 14435-14448 (2024) - Zhengyang Su, Kah Chan Teh, Yihang Xie, Sirajudeen Gulam Razul, Alex C. Kot:
Signal Enhancement Aided End-to-End Deep Learning Approach for Joint Denoising and Spectrum Sensing. IEEE Trans. Veh. Technol. 73(3): 4424-4428 (2024) - Byungjun Kim, Christoph F. Mecklenbräuker, Peter Gerstoft:
Deep Learning-based Modulation Classification of Practical OFDM Signals for Spectrum Sensing. CoRR abs/2403.19292 (2024) - 2023
- G. Arunachalam, P. Sureshkumar:
Optimized Deep Learning Model for Effective Spectrum Sensing in Dynamic SNR Scenario. Comput. Syst. Sci. Eng. 45(2): 1279-1294 (2023) - S. Sivaranjani, C. Vivek:
Reliable hybrid deep learning technique for an effective spectrum sensing in cognitive radio. J. Intell. Fuzzy Syst. 44(6): 10765-10779 (2023) - Hanjin Kim, Young-Jin Kim, Wontae Kim:
Multitask Learning-Based Deep Signal Identification for Advanced Spectrum Sensing. Sensors 23(24): 9806 (2023) - Xiaojin Ding, Tao Ni, Yulong Zou, Gengxin Zhang:
Deep Learning for Satellites Based Spectrum Sensing Systems: A Low Computational Complexity Perspective. IEEE Trans. Veh. Technol. 72(1): 1366-1371 (2023) - Keunhong Chae, Yusung Kim:
DS2MA: A Deep Learning-Based Spectrum Sensing Scheme for a Multi-Antenna Receiver. IEEE Wirel. Commun. Lett. 12(6): 952-956 (2023) - P. K. Shah, Deepali Sultane, Pratiman Singh:
Spectrum Sensing Mechanism For Congnitive Radio using Deep Learning. ICAIIC 2023: 625-629 - 2022
- Salma Benazzouza, Mohammed Ridouani, Fatima Salahdine, Aawatif Hayar:
A Novel Prediction Model for Malicious Users Detection and Spectrum Sensing Based on Stacking and Deep Learning. Sensors 22(17): 6477 (2022) - Xiaojin Ding, Qiulin Lv, Yulong Zou, Gengxin Zhang:
Spectrum Prediction for Satellite based Spectrum-Sensing Systems Using Deep Learning. GLOBECOM 2022: 3472-3477 - Hind Boukhairat, Mohammed-Amine Koulali:
Deep-Learning for Cooperative Spectrum Sensing Optimization in Cognitive Internet of Things. ISCC 2022: 1-7 - Wei Wang, Juncheng Peng:
Cooperative Spectrum Sensing Algorithm for UAV Based on Deep Learning. VTC Fall 2022: 1-5 - Sadaf Nazneen Syed, Pavlos I. Lazaridis, Faheem Ahmad Khan, Qasim Zeeshan Ahmed, Maryam Hafeez, Violeta Holmes, Ioannis P. Chochliouros, Zaharias D. Zaharis:
Deep Learning Approaches for Spectrum Sensing in Cognitive Radio Networks. WPMC 2022: 480-485 - 2021
- Felix Obite, Aliyu D. Usman, Emmanuel Okafor:
An overview of deep reinforcement learning for spectrum sensing in cognitive radio networks. Digit. Signal Process. 113: 103014 (2021) - S. B. Goyal, Pradeep Bedi, Jugnesh Kumar, Varadarajan Vijayakumar:
Deep learning application for sensing available spectrum for cognitive radio: An ECRNN approach. Peer-to-Peer Netw. Appl. 14(5): 3235-3249 (2021) - Surendra Solanki, Vasudev Dehalwar, Jaytrilok Choudhary:
Deep Learning for Spectrum Sensing in Cognitive Radio. Symmetry 13(1): 147 (2021) - Thao Tran Phuong, Kiyoshi Ohishi, Yuki Yokokura:
Deep Learning Based Singular Spectrum Analysis for Realization of Wideband Force Sensing. ICM 2021: 1-6 - 2020
- Bipun Man Pati, Megumi Kaneko, Attaphongse Taparugssanagorn:
A Deep Convolutional Neural Network Based Transfer Learning Method for Non-Cooperative Spectrum Sensing. IEEE Access 8: 164529-164545 (2020) - Guangliang Pan, Jun Li, Fei Lin:
A Cognitive Radio Spectrum Sensing Method for an OFDM Signal Based on Deep Learning and Cycle Spectrum. Int. J. Digit. Multim. Broadcast. 2020: 5069021:1-5069021:10 (2020) - Yunzeng Li, Wensheng Zhang, Cheng-Xiang Wang, Jian Sun, Yu Liu:
Deep Reinforcement Learning for Dynamic Spectrum Sensing and Aggregation in Multi-Channel Wireless Networks. IEEE Trans. Cogn. Commun. Netw. 6(2): 464-475 (2020) - Peixiang Cai, Yu Zhang, Changyong Pan:
Coordination Graph-Based Deep Reinforcement Learning for Cooperative Spectrum Sensing Under Correlated Fading. IEEE Wirel. Commun. Lett. 9(10): 1778-1781 (2020) - Zhibo Chen, Daoxing Guo, Jie Zhang:
Deep Learning for Cooperative Spectrum Sensing in Cognitive Radio. ICCT 2020: 741-745 - Tossaporn Srisooksai, Satoshi Nishida, Shuji Nambu:
A Deep Learning Approach for Wireless Spectrum Sensing in Communications-based Train Control: A Over-fitting Problem and Solution. VTC Fall 2020: 1-5 - Umuralp Kaytaz, Seyhan Ucar, Baris Akgün, Sinem Coleri:
Distributed Deep Reinforcement Learning with Wideband Sensing for Dynamic Spectrum Access. WCNC 2020: 1-6 - 2019
- Haibo He, He Jiang:
Deep Learning Based Energy Efficiency Optimization for Distributed Cooperative Spectrum Sensing. IEEE Wirel. Commun. 26(3): 32-39 (2019) - Jiabao Gao, Xuemei Yi, Caijun Zhong, Xiaoming Chen, Zhaoyang Zhang:
Deep Learning for Spectrum Sensing. IEEE Wirel. Commun. Lett. 8(6): 1727-1730 (2019) - Jiabao Gao, Xuemei Yi, Caijun Zhong, Xiaoming Chen, Zhaoyang Zhang:
Deep Learning for Spectrum Sensing. CoRR abs/1909.02730 (2019)
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