OFDM
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Cognitive Radio
Multiple Antennas
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Full Duplex
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Spectrum Sharing
Channel Estimation
Interference Cancellation
Heterogeneous Networks
Stochastic Geometry
Bi-directional
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interference
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CoMP
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inter user interference
WVAN
QAM
intersymbol interference
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resource block management
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LTE-based V2V
OCBT
Communication range
V2X
partial overlap
distributed mode
resource selection
maximum likelihood method
non-orthogonal multiple access
P-NOMA
Dynamic TDD
Number of training blocks
Waveforms
reinforcement learning
OTDOA
estimated position updating
multi-access edge computing
- Computation offloading
indoor positioning
DQN
estimated position overlapping
NR positioning
cross-link interference
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user fairness
Mode 3
Rat-dependent positioning
smart factory
RSRP weighting
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Sooyong Choi and Daesik Hong, "A Hybrid Structured Neural Network Receiver in Digital Communication Systems", IEEE IJCNN, July 2000
[IEEE IJCNN]
조회 56726
Status : | Presented |
---|---|
Date : | 2000-07 |
Title : | A Hybrid Structured Neural Network Receiver in Digital Communication Systems |
Authors : | Sooyong Choi and Daesik Hong |
Conference : | IEEE International Joint Conference on Neural Networks |
Abstract : | In order to reduce the complexity of a radial basis function (RBF) network as a multiuser demodulator and an equalizer, we propose a simplified hybrid neural network architecture. The proposed neural network, which is called RN, has the structure of combining a radial basis function network with multilayer perceptrons (MLPs). The RBF network yields the linear combining output of the hidden layer while the proposed hybrid neural network produces the output using nonlinear combining techniques. From computer simulation results, the RN with the reduced structure from about 50% to about 70% over the RBF network shows better than or almost equal performance to the RBF network as a multiuser demodulator and an equalizer |
URL : | http://ieeexplore.ieee.org/xpl/articleDe...ber=861499 |
Sooyong Choi; Daesik Hong; , "A hybrid structured neural network receiver in digital communication systems," Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on , vol.5, no., pp.378-383 vol.5, 2000
doi: 10.1109/IJCNN.2000.861499
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=861499&isnumber=18674
doi: 10.1109/IJCNN.2000.861499
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=861499&isnumber=18674
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