Radio resource allocation techniques for efficient spectrum access in cognitive radio networks
This paper provides an overview of cognitive radio (CR) networks, with focus on the recent
advances in resource allocation techniques and the CR networks architectural design. The …
advances in resource allocation techniques and the CR networks architectural design. The …
A systematic review of federated learning incentive mechanisms and associated security challenges
In response to various privacy risks, researchers and practitioners have been exploring
different paradigms that can leverage the increased computational capabilities of consumer …
different paradigms that can leverage the increased computational capabilities of consumer …
Auction based game theory in cognitive radio networks for dynamic spectrum allocation
Cognitive radio is an emerging technology that has a high potential to deal with the scarcity
problem in the radio spectrum. Dynamic spectrum access in cognitive networks enhances …
problem in the radio spectrum. Dynamic spectrum access in cognitive networks enhances …
Energy and spectrum optimization for 5G massive MIMO cognitive femtocell based mobile network using auction game theory
Energy and spectrum optimization for massive multiple input multiple output (MIMO)
cognitive femtocell based fifth generation (5G) mobile network is developed using auction …
cognitive femtocell based fifth generation (5G) mobile network is developed using auction …
Stackelberg-game-based dynamic spectrum access in heterogeneous wireless systems
In this paper, we investigate a two-stage Stackelberg game for dynamic spectrum access
(DSA) in cognitive radio networks using a leader [spectrum provider (SP)] subgame and a …
(DSA) in cognitive radio networks using a leader [spectrum provider (SP)] subgame and a …
A channel allocation framework under responsive pricing in heterogeneous cognitive radio network
M Zhang, X Zhu, S Wang, D Cao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
For a virtual network operator (VNO) of a heterogeneous cognitive radio network (CRN),
finding a channel allocation method that can maximize income while guaranteeing the …
finding a channel allocation method that can maximize income while guaranteeing the …
Incentive-driven federated learning and associated security challenges: A systematic review
In response to various privacy risks, researchers and practitioners have been exploring
different paradigms that can leverage the increased computational capabilities of consumer …
different paradigms that can leverage the increased computational capabilities of consumer …
Auction-based time resource allocation for energy harvesting wban
In resource-constrained Wireless Body Area Networks (WBAN), one of the fundamental
challenges is to provide sustainable e-health service. We here investigate time resource …
challenges is to provide sustainable e-health service. We here investigate time resource …
Spectrum sharing for D2D communication in 5G cellular networks: An auction-based model
In this paper, we investigated the spectrum sharing problem for Device-to-Device (D2D)
communications in ultra-dense 5G cellular networks. We propose a simple method for D2D …
communications in ultra-dense 5G cellular networks. We propose a simple method for D2D …
AoI-oriented Resource Allocation for NOMA-based Wireless Powered Cognitive Radio Networks based on Multi-agent Deep Reinforcement Learning
T He, Y Peng, Y Liu, H Song - IEEE Access, 2024 - ieeexplore.ieee.org
In this paper, we study a wireless powered cognitive internet of things (IoT) network, where
cognitive radio (CR) and non-orthogonal multiple access (NOMA) technologies are …
cognitive radio (CR) and non-orthogonal multiple access (NOMA) technologies are …