Abstract | ||
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5G networks require 100x energy efficiency enhancement. Much work on energy efficiency was done with a single-source assumption, however, information received at UEs usually comes from multiple sources. Therefore, their work for energy efficiency analysis shall be adjusted to the multiple sources scenario. In this paper, based on the effective capacity and the effective bandwidth models, we propose a new method to approximate systems’ effective energy efficiency for multiple data sources. It is shown that the approximation results based on our method overlap with simulation results and are more accurate than existing methods. |
Year | DOI | Venue |
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2018 | 10.1109/APCC.2018.8633574 | APCC |
Keywords | Field | DocType |
Quality of service,Bandwidth,Data models,Wireless communication,Computational modeling,Signal to noise ratio,Transmitters | Data modeling,Multiple data,Wireless,Computer science,Efficient energy use,Signal-to-noise ratio,Quality of service,Real-time computing,Electronic engineering,Bandwidth (signal processing) | Conference |
ISBN | Citations | PageRank |
978-1-5386-6928-0 | 0 | 0.34 |
References | Authors | |
0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xuanhan Liang | 1 | 0 | 0.68 |
Yu Chen | 2 | 21 | 5.66 |
Yifeng He | 3 | 360 | 32.59 |
Qimei Cui | 4 | 642 | 79.84 |
Xiaoxuan Zhu | 5 | 1 | 2.39 |