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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Cheolwoo You and Daesik Hong, "Blind Adaptive Equalization Techniques Using the Complex Multi -Layer Perceptron", IEEE GLOBECOM, Nov 1996
[IEEE GLOBECOM]
조회 77093
Status : | Presented |
---|---|
Date : | 1996-11 |
Title : | Blind Adaptive Equalization Techniques Using the Complex Multi -Layer Perceptron |
Authors : | Cheolwoo You and Daesik Hong |
Conference : | IEEE Conference and Exhibition Global Telecommunications |
Abstract : | Among the useful blind equalization algorithms, there are stochastic-gradient iterative equalization algorithms. Because these algorithms basically use a linear FIR filter except to adopt a memoryless nonlinear function of the equalizer output to generate the desired response, only linear channel distortion can be corrected well. To overcome nonlinear channel distortion two new blind equalization schemes using the structure of the complex multi-layer perceptron that can deal with signals of any constellation size are proposed. One is a modification of the constant modulus algorithm (CMA), the most widely used blind algorithm. The other is a modification of the radius-directed equalization (RDE) algorithm with multiple constant modulus that is more suitable for the node activation function having a multi-saturated output region. The experimental results show that the proposed schemes have very low MSE in the steady state and at the same time can recover the arbitrary phase rotation due to the channel when the major channel distortion is both linear and nonlinear |
URL : | http://ieeexplore.ieee.org/xpl/articleDe...ber=587664 |
Cheolwoo You; Daesik Hong; , "Blind adaptive equalization techniques using the complex multi-layer perceptron," Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity , vol.2, no., pp.1340-1344 vol.2, 18-22 Nov 1996
doi: 10.1109/GLOCOM.1996.587664URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=587664&isnumber=12726
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