Heli Zhang

TL;DR: A use case of fully autonomous driving is presented to show 6G supports massive IoT and some breakthrough technologies, such as machine learning and blockchain, in 6G are introduced, where the motivations, applications, and open issues of these technologies for massive IoT are summarized.

TL;DR: A suboptimal algorithm named as hierarchical GA and PSO-based computation algorithm to solve the energy consumption of all UEs via jointly optimizing computation offloading decision making, spectrum, power, and computation resource allocation.

TL;DR: This paper formulate an energy optimization problem of offloading, which aims at minimizing the overall energy consumption at all system entities and takes into account of the constraints from both computation capabilities and service delay requirement, and develop an artificial fish swarm algorithm based scheme.

TL;DR: A blockchain-based mobile edge computing (B-MEC) framework for adaptive resource allocation and computation offloading in future wireless networks, where the blockchain works as an overlaid system to provide management and control functions is presented.

TL;DR: A multi-round-sealed sequential combinatorial auction mechanism is proposed and the properties of the auction are proved and various simulation results are done to show that the proposed approach has better system performance compared with the existing algorithms.