Jun Du

TL;DR: Some state-of-the-art techniques based on AI/ML and their applications in 6G to support ultrabroadband, ultramassive access, and ultrareliable and lowlatency services are surveyed.

TL;DR: This paper focuses on mobile traffic offloading and resource allocation in SDWN-based HetUDNs, constituted of different macro base stations and small-cell base stations (SBSs), and proves the monotonicity and incentive compatibility of the resulting contracts.

TL;DR: The performance of the proposed traffic offloading mechanism is validated in the simulations, which reveal that there exists the unique optimal offloading threshold for the MNO to achieve the maximum expected utility.

TL;DR: Results show that the number of data bidders in different auctions can be balanced effectively through the proposed mobility model, and the income per unit time of sellers in the networked data transaction can also be increased.

TL;DR: A cooperative secure transmission beamforming scheme is designed, which is realized through the satellite’s adaptive beamforming, artificial noise, and BSs’ cooperative beamforming implemented by terrestrial BSs, to maximize the achievable secrecy rate of the eavesdropped fixed satellite service.