Hierarchical incentive mechanism design for federated machine learning in mobile networks

WYB Lim, Z Xiong, C Miao, D Niyato… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
In recent years, the enhanced sensing and computation capabilities of Internet-of-Things
(IoT) devices have opened the doors to several mobile crowdsensing applications. In mobile …

Consortium blockchain for secure resource sharing in vehicular edge computing: A contract-based approach

S Wang, D Ye, X Huang, R Yu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular edge computing (VEC) extends edge computing to vehicular networks by
exploiting computation resources of vehicles to offload tasks from other vehicles and …

When information freshness meets service latency in federated learning: A task-aware incentive scheme for smart industries

WYB Lim, Z Xiong, J Kang, D Niyato… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
For several industrial applications, a sole data owner may lack sufficient training samples to
train effective machine learning based models. As such, we propose a federated learning …

Smart contract-based spectrum sharing transactions for multi-operators wireless communication networks

S Zheng, T Han, Y Jiang, X Ge - IEEE Access, 2020 - ieeexplore.ieee.org
Multiple-operators (multi-OPs) spectrum sharing mechanism can effectively improve the
spectrum utilization in fifth-generation (5G) wireless communication networks. The …

Computation offloading in hierarchical multi-access edge computing based on contract theory and Bayesian matching game

C Su, F Ye, T Liu, Y Tian, Z Han - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Multi-access edge computing (MEC) has emerged as a promising paradigm because of its
good performance for computation-intensive and latency-critical applications. However, the …

An incentive mechanism design for mobile crowdsensing with demand uncertainties

Y Zhan, Y Xia, J Zhang, T Li, Y Wang - Information Sciences, 2020 - Elsevier
Mobile crowdsensing (MCS) has shown great potential in addressing large-scale data
sensing problem by allocating sensing tasks to pervasive mobile users (MU). The MUs will …

A multi-dimensional contract approach for data rewarding in mobile networks

Z Xiong, J Kang, D Niyato, P Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Data rewarding is a novel business model leading a new economic trend in mobile
networks, in which the operators stimulate mobile users to watch ads with data rewards and …

Contract design in hierarchical game for sponsored content service market

Z Xiong, J Zhao, Y Zhang, D Niyato… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With a sponsored content scheme of mobile services, a content provider can encourage end
users/subscribers to access its contents, eg, with an advertisement, by paying part of the …

Data services sales design with mixed bundling strategy: A multidimensional adverse selection approach

Y Zhang, D Niyato, P Wang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
In the era of the Internet of Things (IoT), an immense amount of data is generated from
numerous sensors and devices. Data as a service (DaaS) represents a new market whose …

Economics of strategic network infrastructure sharing: A backup reservation approach

J Hou, L Sun, T Shu, Y Xiao… - IEEE/ACM Transactions …, 2020 - ieeexplore.ieee.org
In transitioning to 5G, the high infrastructure cost, the need for fast rollout of new services,
and the frequent technology/system upgrades triggered wireless operators to consider …