Power Internet of Things for mass terminal access
QoE-oriented rate control and resource allocation for large-scale IoT/M2M access.
Role: Topic Investigator · Timeline: Sep. 2017 – Dec. 2019
Funded by the North China Electric Power University “Double First-Class” Discipline Research Project.
- Proposed a QoE-oriented uplink rate-control and resource-allocation scheme for IoT networks.
- Introduced a Mean Opinion Score (MOS)-based evaluation model for different machine-type communication (MTC) devices.
- Converted the long-term optimization into admission-rate-control and per-slot resource-allocation subproblems using Lyapunov optimization.
- Applied the Gale–Shapley algorithm to a two-dimensional matching problem with preference lists built from transmission rate and SINR.
