Abstract—This paper investigates the distributed Q-learning approach to secondary LTE spectrum sharing, its autonomously emerging spectrum usage patterns, and their impact on the primary and secondary user quality of service (QoS). Large scale simulations of a stadium temporary event scenario show that it is capable of servicing a dramatic 51-fold increase in offered traffic, but with no need for additional spectrum and with no perceived degradation in the primary user QoS. Keywords—Distributed Q-Learning; Dynamic Spectrum Access I
Nowadays, broadband applications that use the licensed spectrum of the cellular network are growing ...
With the unprecedented increase in mobile data demand and limited usable spectrum to provide for it,...
Nowadays, broadband applications that use the licensed spectrum of the cellular network are growing ...
Abstract—This paper presents the concept of the Win-or-Learn-Fast (WoLF) variable learning rate for ...
Abstract—This paper examines how flexible cellular system architectures and efficient spectrum manag...
Abstract—In this paper we propose an algorithm for dynamic spectrum access (DSA) in LTE cellular sys...
This paper examines how novel cellular system architectures and intelligent spectrum management tech...
Abstract—This paper assesses the robustness of the distributed reinforcement learning (RL) approach ...
This article reviews the application of the recent European Licensed Shared Access (LSA) concept for...
The use of Long Term Evolution (LTE) in the unlicensed 5 GHz band, referred to as LTE-U, is a promis...
By implementing reinforcement learning-aided listen-before-talk (LBT) schemes over a citizens broadb...
The increasing demands for wireless spectrum and limited radio resources emphasise the need for more...
Cognitive radio system (CRS) technology can help respond to the growing mobile traffic demand by imp...
International audienceDue to the increasing demands for higher data rate applications, also due to t...
The prime wireless spectrum is inherently a critical yet scarce resource. As the demand of wireless ...
Nowadays, broadband applications that use the licensed spectrum of the cellular network are growing ...
With the unprecedented increase in mobile data demand and limited usable spectrum to provide for it,...
Nowadays, broadband applications that use the licensed spectrum of the cellular network are growing ...
Abstract—This paper presents the concept of the Win-or-Learn-Fast (WoLF) variable learning rate for ...
Abstract—This paper examines how flexible cellular system architectures and efficient spectrum manag...
Abstract—In this paper we propose an algorithm for dynamic spectrum access (DSA) in LTE cellular sys...
This paper examines how novel cellular system architectures and intelligent spectrum management tech...
Abstract—This paper assesses the robustness of the distributed reinforcement learning (RL) approach ...
This article reviews the application of the recent European Licensed Shared Access (LSA) concept for...
The use of Long Term Evolution (LTE) in the unlicensed 5 GHz band, referred to as LTE-U, is a promis...
By implementing reinforcement learning-aided listen-before-talk (LBT) schemes over a citizens broadb...
The increasing demands for wireless spectrum and limited radio resources emphasise the need for more...
Cognitive radio system (CRS) technology can help respond to the growing mobile traffic demand by imp...
International audienceDue to the increasing demands for higher data rate applications, also due to t...
The prime wireless spectrum is inherently a critical yet scarce resource. As the demand of wireless ...
Nowadays, broadband applications that use the licensed spectrum of the cellular network are growing ...
With the unprecedented increase in mobile data demand and limited usable spectrum to provide for it,...
Nowadays, broadband applications that use the licensed spectrum of the cellular network are growing ...