Spectrally Efficient Frequency Division Multiplexing with QRM-MLD for Rician Fading Channel
Author:
Affiliation:
1. Chiba University,Graduate School of Engineering,Chiba,Japan
2. Institute of Industrial Science, The University of Tokyo,Tokyo,Japan
3. Toyohashi University of Technology,Department of Electrical and Electronic Information Engineering,Aichi,Japan
Funder
Telecommunications Advancement Foundation
KDDI Foundation
Hoso Bunka Foundation
Takahashi Industrial and Economic Research Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10318513/10318514/10318920.pdf?arnumber=10318920
Reference23 articles.
1. Adaptive Modulation and Coding Using Neural Network Based SNR Estimation
2. Infinite-Series Representations Associated With the Bivariate Rician Distribution and Their Applications
3. Parallel Detection Algorithm Using Multiple QR Decompositions With Permuted Channel Matrix for SDM/OFDM
4. Power Scaling of Uplink Massive MIMO Systems With Arbitrary-Rank Channel Means
5. Analysis and Simulation of a Digital Mobile Channel Using Orthogonal Frequency Division Multiplexing
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1. Joint SNR and Rician K-Factor Estimation Using Multimodal Network Over Mobile Fading Channels;IEEE Transactions on Machine Learning in Communications and Networking;2024
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