OFDM
Relay
Cognitive Radio
Multiple Antennas
Resource Allocation
Full Duplex
Spectrum Sensing
Synchronization
Spectrum Sharing
Interference Cancellation
Channel Estimation
Feedback
Heterogeneous Networks
Bi-directional
Energy Harvesting
Stochastic Geometry
HetNet
relay networks
FBMC
Equalization
channel capacity
TVWS
CDMA
interference
in-band full-duplex system
Duplex
MIMO
Ultra Low Power
C-V2V
5G
Reliability
SC-FDMA
interference suppression
D-TDD
CLI
indoor positioning
reinforcement learning
RSRP weighting
- Computation offloading
smart factory
Cell-free
multi-access edge computing
estimated position overlapping
—Device-to-device (D2D)
estimated position updating
mMIMO
control overhead
hybrid
NR positioning
Femtocell
Rat-dependent positioning
frame structure
Zigbee
body area networks
channel estimation error
Handoff
CoMP
User grouping
power uncertainty
ultra-dense small cell network
mode selection
antenna arrays
5G mobile communication
UFMC
resource block management
inter user interference
WVAN
health care
partial overlap
GFDM
Dynamic TDD
Multi-user Receiver
Number of training blocks
Uplink SCMA system
V2X
Vehicular communication
cross-link interference
LTE-TDD
FS-NOMA
Location-based
user fairness
Mode 3
QR Factorization
Metaheuristics
P-NOMA
non-orthogonal multiple access
dynamic HetNet
spectrum partitioning
and 5G networks.
massive connectivity
non-orthogonal multiple access (NOMA)
overloading
DQN
OTDOA
distributed mode
Communication range
resource selection
maximum likelihood method
Resource sharing
Power allocation
packet delay
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Sooyong Choi, Kyunbyoung Ko and Daesik Hong, "Adaptive Error Constrained LMS Algorithms and its Bind Equalization Method", IEEE GLOBECOM, Nov. 2001
[IEEE GLOBECOM]
조회 77317
Status : | Presented |
---|---|
Date : | 2001-11 |
Title : | Adaptive Error Constrained LMS Algorithms and its Bind Equalization Method |
Authors : | Sooyong Choi, Kyunbyoung Ko and Daesik Hong |
Conference : | IEEE Conference and Exhibition Global Telecommunications |
Abstract : | In this paper, the adaptive error constrained least mean square (AECLMS) algorithm is proposed through the extension and generalization of the noise constrained LMS (NCLMS) algorithm and its performance analysis is presented. By using a constrained optimization technique, the assumption that the noise variance is known is eliminated. Therefore, the proposed constrained optimization method can be easily applied to blind equalization methods. The proposed constrained method is also applied to the constant modulus criterion. The proposed method can accelerates the convergence speed of the conventional steepest descent-type training procedure by several times |
URL : | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=966303 |
Sooyong Choi; Kyunbyoung Ko; Daesik Hong; , "Adaptive error constrained LMS
algorithms and its blind equalization method," Global Telecommunications
Conference, 2001. GLOBECOM '01. IEEE , vol.6, no., pp.3331-3335 vol.6,
2001
doi: 10.1109/GLOCOM.2001.966303
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=966303&isnumber=20837
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