OFDM
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Multiple Antennas
Resource Allocation
Full Duplex
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channel capacity
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interference
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Reliability
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indoor positioning
reinforcement learning
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User grouping
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multi-access edge computing
hybrid
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resource block management
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frame structure
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power uncertainty
ultra-dense small cell network
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antenna arrays
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inter user interference
health care
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cross-link interference
resource selection
FS-NOMA
Dynamic TDD
Number of training blocks
Mode 3
Uplink SCMA system
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user fairness
smart factory
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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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Sooyong Choi, Sunghwan Ong, Cheolwoo You and Daesik Hong, "A Quadratic Sigmoid Neural Decision Feedback Equalizer for Nonlinear Digital Magnetic Recording Channels", IEEE GLOBECOM, Nov. 1998
[IEEE GLOBECOM]
조회 79663
Status : | Presented |
---|---|
Date : | 1998-11 |
Title : | A Quadratic Sigmoid Neural Decision Feedback Equalizer for Nonlinear Digital Magnetic Recording Channels |
Authors : | Sooyong Choi, Sunghwan Ong, Cheolwoo You and Daesik Hong |
Conference : | IEEE Conference and Exhibition Global Telecommunications |
Abstract : | A new neural equalizer is proposed in order to compensate for intersymbol interference (ISI) and to mitigate nonlinear distortions in digital magnetic recording systems and to strengthen the bit error rate (BER) performance of conventional neural decision feedback equalizer (NDFE). The proposed quadratic sigmoid neural decision feedback equalizer (QSNDFE) uses a quadratic sigmoid function as the activation function of the neural networks. We present some computer simulation results of the BER performance in nonlinear digital magnetic recording channels-the nonlinear Lorentzian channel model and the partial erasure model. The BER performance of QSNDFE is compared to that of conventional decision feedback equalizer (DFE) and conventional NDFE. Also, the characteristics of MSE (mean square error) of each equalizer is analyzed. It is shown that the QSNDFE outperforms both DFE and NDFE |
URL : | http://ieeexplore.ieee.org/iel5/6295/168...mber=16828 |
Sooyong Choi; Sunghwan Ong; Cheolwoo You; Daesik Hong; , "A quadratic sigmoid neural decision feedback equalizer for nonlinear digital magnetic recording channels," Global Telecommunications Conference, 1998. GLOBECOM 98. The Bridge to Global Integration. IEEE , vol.3, no., pp.1735-1740 vol.3, 1998
doi: 10.1109/GLOCOM.1998.776682URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=776682&isnumber=16828
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