OFDM
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Cognitive Radio
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relay networks
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CDMA
channel capacity
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interference
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TVWS
CLI
in-band full-duplex system
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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
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CoMP
packet delay
power uncertainty
ultra-dense small cell network
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antenna arrays
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inter user interference
health care
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smart factory
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dynamic HetNet
spectrum partitioning
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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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Jihaeng Heo, Gosan Noh, Sungsoo Park, Sangho Nam, and Daesik Hong, "Spatial Multiplexing Strategy using Multiple Relay Selection in AF Relaying Systems", ITC-CSCC 2011, June 2011
[ITC-CSCC]
조회 84403
Status : | Presented |
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Date : | 2011-06 |
Title : | Spatial Multiplexing Strategy using Multiple Relay Selection in AF Relaying Systems |
Authors : | Jihaeng Heo, Gosan Noh, Sungsoo Park, Sangho Nam, and Daesik Hong |
Conference : | ITC-CSCC 2011 |
Abstract : | We consider an amplify-and-forward (AF) halfduplex relaying system which consists of one source and destination pair with M antennas, and K relay nodes with a single antenna. To enhance the capacity of AF relaying system, we propose spatial multiplexing strategies selecting M relay nodes and transmitting M data streams. Two spatial multiplexing strategies are considered according to the knowledge of channel state information (CSI) at the source. Furthermore, to reduce the computational complexity of multiple relay selection efficiently, we propose a sub-optimal selection algorithm. Simulation results show that the proposed strategies achieve more capacity gain as the number of relay nodes increases. In addition, the suboptimal selection algorithm also achieves the multiplexing gain with a small loss compared to the exhaustive search algorithm. |
Download : | http://mirinae.yonsei.ac.kr/?module=file...51fb18b087 |
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