Exclusive use spectrum access trading models in cognitive radio networks: A survey
MR Hassan, GC Karmakar… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Spectrum frequency is a valuable resource for wireless communication but very limited in its
availability. Due to the extensive use and ever increasing demand of spectrum bands by …
availability. Due to the extensive use and ever increasing demand of spectrum bands by …
Cognitive capacity harvesting networks: Architectural evolution toward future cognitive radio networks
Cognitive radio technologies enable users to opportunistically access unused licensed
spectrum and are viewed as a promising way to deal with the current spectrum crisis. Over …
spectrum and are viewed as a promising way to deal with the current spectrum crisis. Over …
Deep reinforcement learning for throughput improvement of the uplink grant-free NOMA system
Facing the dramatic increase of mobile devices and the scarcity of spectrum resources, grant-
free nonorthogonal multiple access (NOMA) emerges as an enabling technology for …
free nonorthogonal multiple access (NOMA) emerges as an enabling technology for …
Multi-channel opportunistic access for heterogeneous networks based on deep reinforcement learning
This paper investigates a new medium access control (MAC) protocol for multi-channel
heterogeneous networks (HetNets) based on deep reinforcement learning (DRL), referred to …
heterogeneous networks (HetNets) based on deep reinforcement learning (DRL), referred to …
Optimality of treating interference as noise: A combinatorial perspective
For single-antenna Gaussian interference channels, we reformulate the problem of
determining the generalized degrees of freedom (GDoF) region achievable by treating …
determining the generalized degrees of freedom (GDoF) region achievable by treating …
Distributed stochastic learning and adaptation to primary traffic for dynamic spectrum access
We design distributed online learning and channel access for secondary users in a cognitive
radio network. Our goal is to design channel selection and access that can effectively adapt …
radio network. Our goal is to design channel selection and access that can effectively adapt …
A KNN learning algorithm for collusion-resistant spectrum auction in small cell networks
F Zhao, Q Tang - IEEE Access, 2018 - ieeexplore.ieee.org
Existing spectrum auction algorithms rarely consider the collusion-resistant, which
decreases the spectrum allocation efficiency. In this paper, we propose a collusion-resistant …
decreases the spectrum allocation efficiency. In this paper, we propose a collusion-resistant …
Trekking based distributed algorithm for opportunistic spectrum access in infrastructure-less network
An opportunistic spectrum access (OSA) in the infrastructure-less network has received
significant attention in last few years due to their ability to improve spectrum utilization as …
significant attention in last few years due to their ability to improve spectrum utilization as …
Learning to coordinate in a decentralized cognitive radio network in presence of jammers
S Sawant, R Kumar, MK Hanawal… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Efficient utilization of licensed spectrum in the cognitive radio network is challenging due to
lack of coordination among the Secondary Users (SUs). Distributed algorithms proposed in …
lack of coordination among the Secondary Users (SUs). Distributed algorithms proposed in …
On the optimality of treating interference as noise: A combinatorial optimization perspective
For single-antenna Gaussian interference channels, we re-formulate the problem of
determining the Generalized Degrees of Freedom (GDoF) region achievable by treating …
determining the Generalized Degrees of Freedom (GDoF) region achievable by treating …