Cooperative spectrum sensing meets machine learning: Deep reinforcement learning approach
R Sarikhani, F Keynia - IEEE Communications Letters, 2020 - ieeexplore.ieee.org
… Eventually, the sensing error is represented in Fig. 3, where … As depicted, the sensing error
in both cases for the proposed … sensing error and lowest fluctuations in the sensing error by …
in both cases for the proposed … sensing error and lowest fluctuations in the sensing error by …
Deep reinforcement learning for simultaneous sensing and channel access in cognitive networks
… Next, we examine the impact of sensing errors on the performance of our novel DDQSA …
sensing (only a 2% decrease). We conclude that the DDQSA is quite robust to sensing errors, …
sensing (only a 2% decrease). We conclude that the DDQSA is quite robust to sensing errors, …
Deep reinforcement learning based reliable spectrum sensing under SSDF attacks in cognitive radio networks
A Paul, AK Mishra, S Shreevastava… - Journal of Network and …, 2022 - Elsevier
… the actual outcomes of Cooperative Spectrum Sensing (CSS). Existing … The present work
explores the Deep Reinforcement … sensed-energy values at FC and reduces the sensing error …
explores the Deep Reinforcement … sensed-energy values at FC and reduces the sensing error …
A multi-channel and multi-user dynamic spectrum access algorithm based on deep reinforcement learning in Cognitive Vehicular Networks with sensing error
L Chen, K Fu, Q Zhao, X Zhao - Physical Communication, 2022 - Elsevier
… In order to close to the reality communication environment, the spectrum access problem
with sensing error is considered in this paper. The sensing result’s accuracy of SV i on channel …
with sensing error is considered in this paper. The sensing result’s accuracy of SV i on channel …
Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems
… We assume that this (downlink) transmission from gateway to sensor works without errors. …
, resulting in an exponentially reduced error probability. Error performance can be further …
, resulting in an exponentially reduced error probability. Error performance can be further …
Deep reinforced learning tree for spatiotemporal monitoring with mobile robotic wireless sensor networks
… of mobile robotic sensors in an EOI. The robotic sensors are assumed to be point sensor,
which … quality of the robotic sensors is determined by the field estimation error as calculated by …
which … quality of the robotic sensors is determined by the field estimation error as calculated by …
Cognitive radio spectrum sensing and prediction using deep reinforcement learning
SQ Jalil, S Chalup, MH Rehmani - 2021 International Joint …, 2021 - ieeexplore.ieee.org
… to use deep reinforcement learning (DRL) for the task of cooperative spectrum sensing (CSS)
in a … All methods have similar performance in terms of sensing errors where sensing errors …
in a … All methods have similar performance in terms of sensing errors where sensing errors …
Towards closing the sim-to-real gap in collaborative multi-robot deep reinforcement learning
… Variable errors, on the other hand, try to emulate the sensing errors that come, for example,
from the vibration of the arm or local odometry errors describing its orientation and position. …
from the vibration of the arm or local odometry errors describing its orientation and position. …
A secure mobile crowdsensing game with deep reinforcement learning
… (1) is adopted in the simulations presented in Section VI, the framework presented in this
work is not restricted to the sensing evaluation error model in (1). More specifically, the …
work is not restricted to the sensing evaluation error model in (1). More specifically, the …
Energy-aware deep reinforcement learning scheduling for sensors correlated in time and space
… To estimate the observed process we apply a Linear Minimum Mean Square Error (LMMSE)
estimator which is commonly used for such problems as demonstrated in [28]. One of the …
estimator which is commonly used for such problems as demonstrated in [28]. One of the …
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