Similar Papers

Paper Title
Journal
Date
Author
An efficient deep neural network channel state estimator for OFDM wireless systems
Hassan A Hassan ... Mohamed A Mohamed
Wireless Networks | VOL. 30
Hassan A Hassan, et. al.Hassan A Hassan ... Mohamed A Mohamed
05 Dec 2023
Map-based automatic modulation classification for wireless adaptive OFDM systems
L Haring ... C Kisters
-
L Haring, et. al.L Haring ... C Kisters
01 May 2013
User based resource scheduling for heterogeneous traffic in the downlink of OFDM systems
G Indumathi ... K Murugesan
-
G Indumathi, et. al.G Indumathi ... K Murugesan
01 Jul 2011
Cross-layer optimization for OFDM wireless networks-part II: algorithm development
Guocong Song ... Ye Li
IEEE Transactions on Wireless Communications | VOL. 4
Guocong Song, et. al. Guocong Song ... Ye Li
01 Mar 2005
View more papers

More From: Electronics

Paper Title
Journal
Date
Author
Untargeted Evasion Attacks on Deep Neural Networks Using StyleGAN
Hyun Kwon
Electronics | VOL. -
Hyun KwonHyun Kwon
31 Jan 2025
Point Cloud Vibration Compensation Algorithm Based on an Improved Gaussian–Laplacian Filter
Wanhe Du ... Jinghui Yang
Electronics | VOL. -
Wanhe Du, et. al.Wanhe Du ... Jinghui Yang
31 Jan 2025
Channel Prediction Technology Based on Adaptive Reinforced Reservoir Learning Network for Orthogonal Frequency Division Multiplexing Wireless Communication Systems
Yongbo Sui ... Hui Gao
Electronics | VOL. -
Yongbo Sui, et. al.Yongbo Sui ... Hui Gao
31 Jan 2025
Network Security Management in Heterogeneous Networks
Tao Zhang ... Jiqiang Liu
Electronics | VOL. -
Tao Zhang, et. al.Tao Zhang ... Jiqiang Liu
31 Jan 2025
View more papers

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.