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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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 53899
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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