5 citations · 15 across the 13 of their papers we have counts for
4 papers · 1 filter
Energy-Efficient Design for IRS-Assisted MEC Networks with NOMA
Qun Wang, Fuhui Zhou, Han Hu +1
Energy-efficient design is of crucial importance in wireless internet of things (IoT) networks. In order to serve massive users while achieving an energy-efficient operation, an in…
User Scheduling for Federated Learning Through Over-the-Air Computation
Xiang Ma, Haijian Sun, Qun Wang +1
A new machine learning (ML) technique termed as federated learning (FL) aims to preserve data at the edge devices and to only exchange ML model parameters in the learning process.…
Mobility-Aware Offloading and Resource Allocation in MEC-Enabled IoT Networks
Han Hu, Weiwei Song, Qun Wang +2
Mobile edge computing (MEC)-enabled Internet of Things (IoT) networks have been deemed a promising paradigm to support massive energy-constrained and computation-limited IoT device…
Secure and Energy-Efficient Offloading and Resource Allocation in a NOMA-Based MEC Network
Qun Wang, Han Hu, Haijian Sun +1
Energy efficiency and security are two critical issues for mobile edge computing (MEC) networks. With stochastic task arrivals, time-varying dynamic environment, and passive existi…