Survey on machine learning for intelligent end-to-end communication toward 6G: From network access, routing to traffic control and streaming adaption
The end-to-end quality of service (QoS) and quality of experience (QoE) guarantee is quite
important for network optimization. The current 5G and conceived 6G network in the future …
important for network optimization. The current 5G and conceived 6G network in the future …
A survey of security challenges in cognitive radio networks: Solutions and future research directions
A Attar, H Tang, AV Vasilakos, FR Yu… - Proceedings of the …, 2012 - ieeexplore.ieee.org
In this survey, we present a comprehensive list of major known security threats within a
cognitive radio network (CRN) framework. We classify attack techniques based on the type …
cognitive radio network (CRN) framework. We classify attack techniques based on the type …
Deep multi-user reinforcement learning for distributed dynamic spectrum access
O Naparstek, K Cohen - IEEE transactions on wireless …, 2018 - ieeexplore.ieee.org
We consider the problem of dynamic spectrum access for network utility maximization in
multichannel wireless networks. The shared bandwidth is divided into K orthogonal …
multichannel wireless networks. The shared bandwidth is divided into K orthogonal …
Deep-learning-based wireless resource allocation with application to vehicular networks
It has been a long-held belief that judicious resource allocation is critical to mitigating
interference, improving network efficiency, and ultimately optimizing wireless communication …
interference, improving network efficiency, and ultimately optimizing wireless communication …
Deep reinforcement learning for dynamic multichannel access in wireless networks
We consider a dynamic multichannel access problem, where multiple correlated channels
follow an unknown joint Markov model and users select the channel to transmit data. The …
follow an unknown joint Markov model and users select the channel to transmit data. The …
[图书][B] Multi-armed bandit allocation indices
J Gittins, K Glazebrook, R Weber - 2011 - books.google.com
In 1989 the first edition of this book set out Gittins' pioneering index solution to the multi-
armed bandit problem and his subsequent investigation of a wide of sequential resource …
armed bandit problem and his subsequent investigation of a wide of sequential resource …
Indexability of restless bandit problems and optimality of whittle index for dynamic multichannel access
In this paper, we consider a class of restless multiarmed bandit processes (RMABs) that
arises in dynamic multichannel access, user/server scheduling, and optimal activation in …
arises in dynamic multichannel access, user/server scheduling, and optimal activation in …
Opportunistic spectrum access in unknown dynamic environment: A game-theoretic stochastic learning solution
We investigate the problem of distributed channel selection using a game-theoretic
stochastic learning solution in an opportunistic spectrum access (OSA) system where the …
stochastic learning solution in an opportunistic spectrum access (OSA) system where the …
Cognitive medium access: Exploration, exploitation, and competition
This paper considers the design of efficient strategies that allow cognitive users to choose
frequency bands to sense and access among multiple bands with unknown parameters …
frequency bands to sense and access among multiple bands with unknown parameters …
Learning multiuser channel allocations in cognitive radio networks: A combinatorial multi-armed bandit formulation
We consider the following fundamental problem in the context of channelized dynamic
spectrum access. There are M secondary users and N¿ M orthogonal channels. Each …
spectrum access. There are M secondary users and N¿ M orthogonal channels. Each …