Intelligent sharing for LTE and WiFi systems in unlicensed bands: A deep reinforcement learning approach
Operating LTE networks in unlicensed bands together with legacy WiFi systems is deemed
as a promising technique to support explosively growing mobile traffic. In conventional …
as a promising technique to support explosively growing mobile traffic. In conventional …
Deep reinforcement learning for the coexistence of LAA-LTE and WiFi systems
As a promising technique to handle the conflict between the explosive mobile traffic and
scare spectrum resource, license-assisted access (LAA) has been proposed to operate the …
scare spectrum resource, license-assisted access (LAA) has been proposed to operate the …
[PDF][PDF] Deep learning for proactive resource allocation in LTE-U networks
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 …
spectrum scarcity. However, to reap the benefits of LTE-U, a fair coexistence mechanism …
A machine learning algorithm for unlicensed LTE and WiFi spectrum sharing
N Rastegardoost, B Jabbari - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Shared use of unlicensed spectrum in practice for coexistence with WiFi is rather complex
and to achieve optimum usage can be highly challenging. While maximal utilization is …
and to achieve optimum usage can be highly challenging. While maximal utilization is …
Proactive resource management for LTE in unlicensed spectrum: A deep learning perspective
Performing cellular long term evolution (LTE) communications in unlicensed spectrum using
licensed assisted access LTE (LTE-LAA) is a promising approach to overcome wireless …
licensed assisted access LTE (LTE-LAA) is a promising approach to overcome wireless …
Rethinking mobile data offloading for LTE in unlicensed spectrum
Traditional mobile data offloading transfers cellular users to WiFi networks to relieve the
cellular system from the pressure of the ever-increasing data traffic load. However, the …
cellular system from the pressure of the ever-increasing data traffic load. However, the …
Dynamic resource allocation using reinforcement learning for LTE-U and WiFi in the unlicensed spectrum
YY Liu, SJ Yoo - … on Ubiquitous and Future Networks (ICUFN), 2017 - ieeexplore.ieee.org
The growing demand for spectrum resources and the limited licensed spectrum have led to
widespread concern about the coexistence of LTE and WiFi in the unlicensed spectrum …
widespread concern about the coexistence of LTE and WiFi in the unlicensed spectrum …
Reinforcement learning for efficient and fair coexistence between LTE-LAA and Wi-Fi
Long-Term Evolution (LTE) over unlicensed spectrum extends LTE technology to the
spacious unlicensed spectrum with readily available bandwidth. The provided capacity …
spacious unlicensed spectrum with readily available bandwidth. The provided capacity …
Efficient coexistence of LTE with WiFi in the licensed and unlicensed spectrum aggregation
A Galanopoulos, F Foukalas… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The exploitation of unlicensed bands by the LTE-advanced (LTE-A) system has become a
reality through the proposal of licensed assisted access (LAA) that relies on the carrier …
reality through the proposal of licensed assisted access (LAA) that relies on the carrier …
Coexistence scheme for uncoordinated LTE and WiFi networks using experience replay based Q-learning
Nowadays, broadband applications that use the licensed spectrum of the cellular network
are growing fast. For this reason, Long-Term Evolution-Unlicensed (LTE-U) technology is …
are growing fast. For this reason, Long-Term Evolution-Unlicensed (LTE-U) technology is …