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
Wonsuk Chung, Sungsoo Park, Sungmook Lim, and Daesik Hong, "Opimal Transmit Power Control for Energy-Harvesting Cognitive Radio System," IEEE VTC2013 Fall, Sep.2013
[IEEE VTC]
조회 91606
Status : | Presented |
---|---|
Date : | 2013-09 |
Title : | Optimal Transmit Power Control for Energy-Harvesting Cognitive Radio System |
Authors : | Wonsuk Chung, Sungsoo Park, Sungmook Lim, and Daesik Hong |
Conference : | IEEE VTC 2013 Fall |
Abstract : | This paper proposes an optimal transmit power control policy designed to maximize the average throughput of an energy-harvesting secondary network. As the transmit power increases, the energy-harvesting secondary network can enhance its throughput during a slot, but the probability of being active decreases due to the energy shortage. The probability of colliding with the primary signal also decreases as the transmit power increases. The optimal transmit power can be obtained by analyzing the effect of the transmit power on performance, especially as a function of statistics of harvested energy. |
URL : | http://ieeexplore.ieee.org/xpl/articleDe...dio+System |
Download : | http://mirinae.yonsei.ac.kr/?module=file...e420dd8b84 |
Wonsuk Chung; Sungsoo Park; Sungmook Lim; Daesik Hong, "Optimal Transmit Power Control for Energy-Harvesting Cognitive Radio System," Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th , vol., no., pp.1,5, 2-5 Sept. 2013
doi: 10.1109/VTCFall.2013.6692333
keywords: {cognitive radio;energy harvesting;optimal control;power control;telecommunication control;telecommunication power supplies;energy-harvesting cognitive radio system;energy-harvesting secondary network;harvested energy statistics;optimal transmit power control;Batteries;Cognitive radio;Data communication;Energy consumption;Optimized production technology;Sensors;Throughput},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6692333&isnumber=6691970
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