[PDF] nsf.gov

[PDF][PDF] Deep learning for proactive resource allocation in LTE-U networks

U Challita, L Dong, W Saad - European wireless technology conference, 2017 - par.nsf.gov
LTE in unlicensed spectrum (LTE-U) is a promising approach to overcome the wireless
spectrum scarcity. However, to reap the benefits of LTE-U, a fair coexistence mechanism …
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Deep learning for proactive resource allocation in LTE-U networks

U Challita, L Dong, W Saad - 23rd European Wireless …, 2017 - khu.elsevierpure.com
LTE in unlicensed spectrum (LTE-U) is a promising approach to overcome the wireless
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[PDF] nycu.edu.tw

[PDF][PDF] Deep Learning for Proactive Resource Allocation in LTE-U Networks

U Challita, L Dong, W Saad - mcube.lab.nycu.edu.tw
LTE in unlicensed spectrum (LTE-U) is a promising approach to overcome the wireless
spectrum scarcity. However, to reap the benefits of LTE-U, a fair coexistence mechanism …

[引用][C] Deep Learning for Proactive Resource Allocation in LTE-U Networks

U Challita, L Dong, W Saad - European Wireless 2017; 23th …, 2017 - ieeexplore.ieee.org
Deep Learning for Proactive Resource Allocation in LTE-U Networks Page 1 Deep Learning for
Proactive Resource Allocation in LTE-U Networks Ursula Challita ∗ , Li Dong ∗ , and Walid Saad …

[引用][C] Deep Learning for Proactive Resource Allocation in LTE-U Networks

U Challita, L Dong, W Saad - vde-verlag.de
Deep Learning for Proactive Resource Allocation in LTE-U Networks - Tagungsbeiträge - VDE
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