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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Kwonho Song, Jemin Lee, Sungsoo Park, and Daesik Hong, "Spectrum-Efficient Operating Policy for Energy-Harvesting Clustered Wireless Networks", IEEE PIMRC, Sep.2013
[IEEE PIMRC]
조회 48963
Status : | Presented |
---|---|
Date : | 2013-09 |
Title : | Spectrum-Efficient Operating Policy for Energy-Harvesting Clustered Wireless Networks |
Authors : | Kwonho Song, Jemin Lee, Sungsoo Park, and Daesik Hong |
Conference : | IEEE PIMRC |
Abstract : | We consider a clustered wireless network composed of energy-harvesting access points (APs) to improve both spectrum efficiency and energy efficiency. Each AP only uses the harvested energy for transmission and becomes inactive when the harvested energy is less than the required energy for transmission. The number of inactive APs increases as the number of users being served by an AP increases. Considering the relationship between the number of served users and the active AP density, we propose a spectrum-efficient operating policy designed to ensure that an AP serves the closest n users rather than all users in the cluster. We derive the outage probability and the area spectral efficiency (ASE) for an energy-harvesting clustered wireless network in closed form using stochastic geometry. Numerical results show that there is an optimal number of served users per AP that maximizes the ASE, which verifies that the ASE can be increased by the proposed spectrum-efficient operating policy. |
URL : | http://ieeexplore.ieee.org/xpl/articleDe...s+Networks |
Download : | http://mirinae.yonsei.ac.kr/?module=file...13eae9cd29 |
Song, Kwonho; Lee, Jemin; Park, Sungsoo; Hong, Daesik, "Spectrum-efficient operating policy for energy-harvesting clustered wireless networks," Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on , vol., no., pp.2393,2397, 8-11 Sept. 2013
doi: 10.1109/PIMRC.2013.6666546
keywords: {Ad hoc networks;Energy states;Numerical models;Optimized production technology;Wireless networks;Wireless sensor networks;Poisson point process;area spectral efficiency;clustered network;energy-harvesting;outage probability},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6666546&isnumber=6666091
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