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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Sooyong Choi, KyunByoung Ko and Daesik Hong, "Equalization Techniques Using A Simplified Bilinear Recursive Polynomial Perceptron with Decision Feedback", IJCNN, Jun. 2001
[IEEE IJCNN]
조회 70270
Status : | Presented |
---|---|
Date : | 2001-07 |
Title : | Equalization Techniques Using A Simplified Bilinear Recursive Polynomial Perceptron with Decision Feedback |
Authors : | Sooyong Choi, KyunByoung Ko and Daesik Hong |
Conference : | IEEE International Joint Conference on Neural Networks |
Abstract : | This paper presents nonlinear blind equalization techniques using an adaptive bilinear polynomial filter. Two types of blind adaptive bilinear polynomial equalizers with reduced bilinear terms are proposed. One is a blind bilinear polynomial decision feedback equalizer using conventional constant modulus algorithm, which uses previous detected symbols. The other is a blind predictive constant modulus bilinear decision feedback equalizer, which uses error signals. In proposed equalizers, the input of the bilinear section is composed of the feedback inputs multiplied by not overall but middle parts of feedforward inputs. It can be seen by various simulations that proposed simplified blind bilinear equalizers perform better than the conventional blind decision feedback equalizer (DFE) and has almost the same performance as the conventional DFE using training sequences in a digital communication system |
URL : | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=938834 |
Sooyong Choi; Kyunbyoung Ko; Daesik Hong; , "Equalization techniques using a
simplified bilinear recursive polynomial perceptron with decision feedback,"
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference
on , vol.4, no., pp.2883-2888 vol.4, 2001
doi:
10.1109/IJCNN.2001.938834
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=938834&isnumber=20315
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