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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Jemin Lee, Hyungjoon Song, Sungmok Oh and Daesik Hong, "An Improved Location Tracking Algorithm with Velocity Estimation in Cellular Radio Networks", IEEE VTC, May 2006
[IEEE VTC]
조회 118966
Status : | Presented |
---|---|
Date : | 2006-05 |
Title : | An Improved Location Tracking Algorithm with Velocity Estimation in Cellular Radio Networks |
Authors : | Jemin Lee, Hyungjoon Song, Sungmok Oh and Daesik Hong |
Conference : | IEEE Conference Vehicular Technology |
Abstract : | The location tracking of a mobile station is required to support the location-based services and the radio resource management. The improved location tracking algorithm which uses the Kalman filter with the velocity renovation process is proposed. The velocity renovation process consists of a velocity estimator and a direction finder. By this process, the proposed algorithm can use accurately estimated velocity in the location estimation. The proposed algorithm reduces more than 66% of the location estimation error and shortens the transient time of estimation compared to the Kalman filtering method in M. Hellebrandt and R. Mathar, (1999). The performance of the proposed algorithm is verified in the aspect of the outage probability and the location error ratio |
URL : | http://ieeexplore.ieee.org/xpl/articleDe...o+Networks |
Download : | http://mirinae.yonsei.ac.kr/?module=file...33f243c2b7 |
Jemin Lee; Hyungjoon Song; Sungmok Oh; Daesik Hong; , "An Improved Location Tracking Algorithm with Velocity Estimation in Cellular Radio Networks," Vehicular Technology Conference, 2006. VTC 2006-Spring. IEEE 63rd , vol.2, no., pp.618-622, 7-10 May 2006
doi: 10.1109/VETECS.2006.1682898
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1682898&isnumber=35442
doi: 10.1109/VETECS.2006.1682898
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1682898&isnumber=35442
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