The data traffic volume of the 6th generation (6G) mobile communication networks is huge,
and there are novel challenges in various communications services and scenarios. This …

With the increasing deployment of mobile vehicles, such as mobile robots and unmanned
aerial vehicles (UAVs), it is foreseen that they will play an important role in mobile crowd …

Emerging connected vehicular services, such as intelligent driving and high-definition (HD)
map, are gaining increasing interest with the fast development of multi-access edge …

We propose an efficient solution approach for high-dimensional nonlocal mean-field game
(MFG) systems based on the Monte Carlo approximation of interaction kernels via random …

Mobile crowd sensing (MCS) is a popular sensing paradigm that recruits participants
carrying sensing devices to collect data for specific tasks in a sensing area. In an MCS …

Aiming at the problem of integrated task assignment and trajectory planning of a massive
number of agents in the scenario with different priority task nodes and multiple static …

In mobile crowdsensing (MCS), the battery of participants is often limited. When participants
perform too many sensing tasks resulting in insufficient remaining energy, they will exit the …

Abstract In Mobile Crowdsensing (MCS), sensing tasks have different impacts and
contributions to the whole system or specific targets, so the importance of the tasks is …