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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Jemin Lee, Sungmook Lim, Jeffrey G. Andrews and Daesik Hong, "Achievable Transmission Capacity of Secondary System in Cognitive Radio Networks", IEEE ICC 2010, Dec. 2009
[IEEE ICC]
조회 100908
Status : | Presented |
---|---|
Date : | 2009-12 |
Title : | Achievable Transmission Capacity of Secondary System in Cognitive Radio Networks |
Authors : | Jemin Lee, Sungmook Lim, Jeffrey G. Andrews and Daesik Hong |
Conference : | IEEE ICC 2010 |
Abstract : | This paper evaluates the secondary system’s transmission capacity in cognitive ratio networks, defined by the maximum spatial density of successful transmissions while guaranteeing the outage probability constraints of the secondary and the primary systems. By using stochastic geometry, the relation between the spatial densities, the transmission powers, and the transmission capacities of spectrum sharing systems are presented. Subsequently, the optimal spatial density of the secondary system and the optimal transmission power ratio of the primary system to the secondary system are derived. Furthermore, the achievable transmission capacity is defined using the derived optimal values. From the theoretical results, it is shown that the optimal transmission power ratio is affected by not the density of the primary system, but the system parameters including the target outage probability. In addition, the achievable transmission capacity of the secondary system decreases as the spatial density of the primary system increases at the decreasing rate determined by the system parameters of the primary system. |
URL : | http://ieeexplore.ieee.org/xpl/articleDe...io+Network |
Download : | http://mirinae.yonsei.ac.kr/?module=file...646d26f7cf |
Jemin Lee; Sungmook Lim; Andrews, J.G.; Daesik Hong; , "Achievable Transmission Capacity of Secondary System in Cognitive Radio Networks," Communications (ICC), 2010 IEEE International Conference on , vol., no., pp.1-5, 23-27 May 2010
doi: 10.1109/ICC.2010.5502723
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5502723&isnumber=5501741
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