OFDM
Relay
Cognitive Radio
Multiple Antennas
Resource Allocation
Full Duplex
Spectrum Sensing
Synchronization
Spectrum Sharing
Interference Cancellation
Channel Estimation
Feedback
Heterogeneous Networks
Energy Harvesting
Stochastic Geometry
Bi-directional
Equalization
relay networks
FBMC
HetNet
CDMA
channel capacity
SC-FDMA
interference
MIMO
Ultra Low Power
Duplex
TVWS
CLI
in-band full-duplex system
D-TDD
interference suppression
Reliability
5G
C-V2V
indoor positioning
reinforcement learning
RSRP weighting
User grouping
Rat-dependent positioning
Communication range
multi-access edge computing
hybrid
- Computation offloading
—Device-to-device (D2D)
estimated position updating
control overhead
resource block management
estimated position overlapping
Femtocell
NR positioning
frame structure
Zigbee
body area networks
channel estimation error
Handoff
CoMP
packet delay
power uncertainty
ultra-dense small cell network
GFDM
antenna arrays
5G mobile communication
UFMC
WVAN
mode selection
inter user interference
health care
Vehicular communication
cross-link interference
resource selection
FS-NOMA
Dynamic TDD
Number of training blocks
Mode 3
Uplink SCMA system
Multi-user Receiver
LTE-TDD
user fairness
smart factory
V2X
Metaheuristics
Location-based
QR Factorization
partial overlap
P-NOMA
dynamic HetNet
spectrum partitioning
Cell-free
and 5G networks.
overloading
massive connectivity
DQN
mMIMO
distributed mode
non-orthogonal multiple access
OTDOA
maximum likelihood method
Resource sharing
Power allocation
non-orthogonal multiple access (NOMA)
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Sunghwan Ong, Sooyong Choi, Cheolwoo You and Daesik Hong, "A decision feedback recurrent neural equalizer for digital communication", ICNN, June 1997
[ICNN]
조회 71249
Status : | Presented |
---|---|
Date : | 1997-06 |
Title : | A decision feedback recurrent neural equalizer for digital communication |
Authors : | Sunghwan Ong, Sooyong Choi, Cheolwoo You and Daesik Hong |
Conference : | International Conference on Neural Networks |
Abstract : | In this paper, we introduce an adaptive Decision Feedback Recurrent Neural Equalizer (DFRNE) whose small size and high performance makes it suitable for high-speed channel equalization. By evaluating its performance through computer simulations for various channels, the DFRNE has comparable performance with traditional equalizers when the channel interferences are mild. And it outperforms them when the channel’s transfer function has spectral nulls or when severe nonlinear distortion is present. In addition, the DFRiVE, being essentially an IIR filter, is shown to outperform multi-layer perceptron equalizers in linear and non-linear channel equalization cases. |
URL : | http://ieeexplore.ieee.org/xpl/articleDe...ber=611653 |
Sunghwan Ong; Sooyong Choi; Cheolwoo You; Daesik Hong; , "A decision feedback recurrent neural equalizer for digital communication," Neural Networks,1997., International Conference on , vol.1, no., pp.142-147 vol.1, 9-12 Jun 1997
doi: 10.1109/ICNN.1997.611653
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=611653&isnumber=13361
doi: 10.1109/ICNN.1997.611653
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=611653&isnumber=13361
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