Name
Title | ||
|---|---|---|
Proactive Resource Management for LTE in Unlicensed Spectrum: A Deep Learning Perspective. |
Abstract | ||
|---|---|---|
Performing cellular long term evolution (LTE) communications in unlicensed spectrum using licensed assisted access LTE (LTE-LAA) is a promising approach to overcome wireless spectrum scarcity. However, to reap the benefits of LTE-LAA, a fair coexistence mechanism with other incumbent WiFi deployments is required. In this paper, a novel deep learning approach is proposed for modeling the resource a... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TWC.2018.2829773 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
Resource management,Long Term Evolution,Wireless fidelity,Wireless communication,Machine learning,Games | Base station,Time horizon,Spectrum management,Wireless,Computer network,Resource allocation,Wi-Fi,LTE in unlicensed spectrum,Mathematics,Proportionally fair | Journal |
Volume | Issue | ISSN |
17 | 7 | 1536-1276 |
Citations | PageRank | References |
13 | 0.64 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ursula Challita | 1 | 171 | 10.24 |
| Li Dong | 2 | 582 | 31.86 |
| Walid Saad | 3 | 4450 | 279.64 |