OFDM
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Multiple Antennas
Resource Allocation
Full Duplex
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Interference Cancellation
Channel Estimation
Feedback
Heterogeneous Networks
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Stochastic Geometry
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relay networks
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Equalization
channel capacity
TVWS
CDMA
interference
in-band full-duplex system
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MIMO
Ultra Low Power
C-V2V
5G
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SC-FDMA
interference suppression
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CLI
indoor positioning
reinforcement learning
RSRP weighting
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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
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CoMP
User grouping
power uncertainty
ultra-dense small cell network
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antenna arrays
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resource block management
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health care
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user fairness
Mode 3
QR Factorization
Metaheuristics
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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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Seungjin You, Gosan Noh, Jemin Lee, Hano Wang, and Daesik Hong, "Joint Beamforming and Power Control Algorithm for Cognitive Radio Network with the Multi-antenna Base Station", IEEE WCNC 2010, Dec. 2009
[IEEE WCNC]
조회 91332
Status : | Presented |
---|---|
Date : | 2009-12 |
Title : | Joint Beamforming and Power Control Algorithm for Cognitive Radio Network with the Multi-antenna Base Station |
Authors : | Seungjin You, Gosan Noh, Jemin Lee, Hano Wang, and Daesik Hong |
Conference : | IEEE WCNC 2010 |
Abstract : | Cognitive radio (CR) has been studied as a useful solution for efficient utilization of scarce radio spectrums. For it to succeed, two conflicting challenges are imposed on the secondary users: one is to ensure the quality of service (QoS) of the primary link, and the other is to maximize their own transmit throughput. To balance this tradeoff, beamforming and power control employing the multi-antenna in the base station (BS) of the CR network have been introduced. In the perfect beamforming situation, the power control algorithms suitable in the CR network with a multi-antenna BS (MBS) have been proposed in previous works. However, those algorithms are meaningless for realizing a practical CR network with the MBS since perfect beamforming is impossible. Therefore, unlike previous works, this paper proposes a joint beamforming and power control algorithm as a more practical strategy for realizing a CR network with the MBS. The algorithm is proposed so as to maximize the sum-rate of secondary users, while not degrading QoS for the primary link. Numerical results verify its effectiveness in a CR network with the MBS. |
URL : | http://ieeexplore.ieee.org/xpl/articleDe...se+Station |
Download : | http://mirinae.yonsei.ac.kr/?module=file...86472e5b8f |
You, Seungjin; Noh, Gosan; Lee, Jemin; Wang, Hano; Hong, Daesik; , "Joint Beamforming and Power Control Algorithm for Cognitive Radio Network with the Multi-Antenna Base Station," Wireless Communications and Networking Conference (WCNC), 2010 IEEE , vol., no., pp.1-6, 18-21 April 2010
doi: 10.1109/WCNC.2010.5506457
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5506457&isnumber=5506094
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