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, 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 105885
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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