OFDM
Relay
Cognitive Radio
Multiple Antennas
Resource Allocation
Full Duplex
Spectrum Sensing
Synchronization
Spectrum Sharing
Channel Estimation
Interference Cancellation
Stochastic Geometry
Energy Harvesting
Feedback
Bi-directional
Heterogeneous Networks
Equalization
HetNet
relay networks
FBMC
Ultra Low Power
SC-FDMA
TVWS
Duplex
Reliability
CDMA
MIMO
interference
channel capacity
in-band full-duplex system
interference suppression
5G
C-V2V
reinforcement learning
RSRP weighting
non-orthogonal multiple access (NOMA)
health care
5G mobile communication
indoor positioning
Vehicle-to-vehicle communication
estimated position overlapping
Resource sharing
Power allocation
multi-access edge computing
control overhead
hybrid
Rat-dependent positioning
NR positioning
smart factory
UFMC
Handoff
Femtocell
QAM
CoMP
power uncertainty
- Computation offloading
amplify and forward communication
Zigbee
body area networks
resource block management
frame structure
WVAN
inter user interference
GFDM
mode selection
antenna arrays
partial overlap
LTE-based V2V
resource selection
maximum likelihood method
Communication range
Number of training blocks
Vehicular communication
Uplink SCMA system
Dynamic TDD
QR Factorization
Metaheuristics
FS-NOMA
cross-link interference
user fairness
Multi-user Receiver
Mode 3
V2X
P-NOMA
dynamic HetNet
spectrum partitioning
DQN
D-TDD
CLI
massive connectivity
and 5G networks.
OTDOA
estimated position updating
distributed mode
non-orthogonal multiple access
Spatial capacity
LTE-TDD
—Device-to-device (D2D)
Location-based
overloading
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Sungmook Lim, Taehoon Kwon, Jemin Lee and Daesik Hong, "A New Grouping-ML Detector with Low Complexity for SC-FDMA Systems", IEEE ICC 2010, Dec. 2009
[IEEE ICC]
조회 98056
Status : | Presented |
---|---|
Date : | 2010-05 |
Title : | A New Grouping-ML Detector with Low Complexity for SC-FDMA Systems |
Authors : | Sungmook Lim, Taehoon Kwon, Jemin Lee and Daesik Hong |
Conference : | IEEE ICC 2010 |
Abstract : | In this paper, we propose a new grouping-maximum likelihood detector (GMLD) for single carrier-frequency division multiple access (SC-FDMA) systems. The proposed detector performs local maximum likelihood (ML) detection by grouping the received symbol block based on orthogonal projection to reduce the complexity of ML detector. As a result, the proposed detector offers lower complexity than the ML detector, while its performance approaches that of the ML detector. In addition, the efficient group size to guarantee the lowest complexity and the BER performance close to the ML is also presented. |
URL : | http://ieeexplore.ieee.org/xpl/articleDe...MA+Systems |
Download : | http://mirinae.yonsei.ac.kr/?module=file...323925ff4a |
Sungmook Lim; Taehoon Kwon; Jemin Lee; Daesik Hong; , "A New Grouping-ML Detector with Low Complexity for SC-FDMA Systems,"Communications (ICC), 2010 IEEE International Conference on , vol., no., pp.1-5, 23-27 May 2010
doi: 10.1109/ICC.2010.5502813
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5502813&isnumber=5501741
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