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Reconfiguring Cell Selection in 4G/5G Networks
Mapping Intimacies
◽
10.1109/icnp52444.2021.9651984
◽
2021
◽
Author(s):
Qianru Li
◽
Chunyi Peng
Keyword(s):
Cell Selection
◽
5G Networks
Download Full-text
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Cited By
References
Cell Selection Game for Densely-Deployed Sensor and Mobile Devices In 5G Networks Integrating Heterogeneous Cells and the Internet of Things
Sensors
◽
10.3390/s150924230
◽
2015
◽
Vol 15
(9)
◽
pp. 24230-24256
◽
Cited By ~ 8
Author(s):
Lusheng Wang
◽
Yamei Wang
◽
Zhizhong Ding
◽
Xiumin Wang
Keyword(s):
Internet Of Things
◽
Mobile Devices
◽
The Internet
◽
Cell Selection
◽
5G Networks
◽
The Internet Of Things
Download Full-text
An Optimal Stopping Approach to Cell Selection in 5G Networks
IEEE Access
◽
10.1109/access.2019.2935512
◽
2019
◽
Vol 7
◽
pp. 116094-116106
Author(s):
Ning Wei
◽
Guangrong Yue
◽
Zhongpei Zhang
Keyword(s):
Optimal Stopping
◽
Cell Selection
◽
5G Networks
Download Full-text
IBNSlicing: Intent-Based Network Slicing Framework for 5G Networks using Deep Learning
2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS)
◽
10.23919/apnoms50412.2020.9237008
◽
2020
◽
Author(s):
Khizar Abbas
◽
Muhammad Afaq
◽
Talha Ahmed Khan
◽
Asif Mehmood
◽
Wang-Cheol Song
Keyword(s):
Deep Learning
◽
5G Networks
◽
Network Slicing
Download Full-text
Towards Intelligent Industry 4.0 5G Networks: A First Throughput and QoE Measurement Campaign
2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
◽
10.23919/softcom50211.2020.9238299
◽
2020
◽
Author(s):
William Tarneberg
◽
Omar Hamsis
◽
John Hedlund
◽
Kjell Brunnstrom
◽
Emma Fitzgerald
◽
...
Keyword(s):
Industry 4.0
◽
5G Networks
◽
Measurement Campaign
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Massive MIMO-Based 5G Networks: Energy Harvesting Base Stations with Minimum Storage
International Journal of Advanced Scientific Research & Development (IJASRD)
◽
10.26836/ijasrd/2019/v6/i3/60308
◽
2019
◽
Vol 6
(3)
◽
pp. 55
Author(s):
S. Uma
◽
V. Brinda
Keyword(s):
Energy Harvesting
◽
Massive Mimo
◽
Base Stations
◽
5G Networks
Download Full-text
A Review of Power Domain Non-Orthogonal Multiple Access in 5G Networks
International Journal of Integrated Engineering
◽
10.30880/ijie.2018.10.07.023
◽
2018
◽
Vol 10
(7)
◽
Cited By ~ 1
Author(s):
Aiman Kassir
◽
◽
Rudzidatul Akmam Dziyauddin
◽
Hazilah Mad Kaidi
◽
Mohd Azri Mohd Izhar
◽
...
Keyword(s):
Multiple Access
◽
5G Networks
◽
Power Domain
Download Full-text
PyeongChang Winter Olympics and the Crisis of Movement : How Robots, 5G Networks, and Virtual Reality Technology Challenge the Authenticity of Human Movement
The Journal of the Korean Society for the Philosophy of Sport Dance & Martial Arts’
◽
10.31694/pm.2018.12.26.4.006
◽
2018
◽
Vol 26
(4)
◽
pp. 67-85
◽
Cited By ~ 1
Author(s):
Sungeun Kim
◽
Heesun Shin
◽
Chihyung Jeon
Keyword(s):
Virtual Reality
◽
Human Movement
◽
5G Networks
◽
Virtual Reality Technology
◽
Winter Olympics
Download Full-text
Faculty Opinions recommendation of Transmitter-receptor interactions between growth cones of identified Lymnaea neurons determine target cell selection in vitro.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
◽
10.3410/f.1001180.17164
◽
2001
◽
Author(s):
Rachel Wong
Keyword(s):
Target Cell
◽
Growth Cones
◽
Cell Selection
◽
Receptor Interactions
◽
Lymnaea Neurons
Download Full-text
Faculty Opinions recommendation of Rapid analysis of T-cell selection in vivo using T cell-receptor retrogenic mice.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
◽
10.3410/f.1031579.375723
◽
2006
◽
Author(s):
Paul Gleeson
Keyword(s):
T Cell
◽
T Cell Receptor
◽
Cell Receptor
◽
Rapid Analysis
◽
Cell Selection
◽
T Cell Selection
Download Full-text
Faculty Opinions recommendation of A broad range of self-reactivity drives thymic regulatory T cell selection to limit responses to self.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
◽
10.3410/f.717953964.793459485
◽
2012
◽
Author(s):
Edward Collins
Keyword(s):
T Cell
◽
Regulatory T Cell
◽
Cell Selection
◽
T Cell Selection
Download Full-text
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