6 papers · 1 filter
Hierarchical Learning for IRS-Assisted MEC Systems with Rate-Splitting Multiple Access
Yinyu Wu, Xuhui Zhang, Yingchao Jiao +5
Intelligent reflecting surface (IRS)-assisted mobile edge computing (MEC) systems have shown notable improvements in efficiency, such as reduced latency, higher data rates, and bet…
Modeling, Prediction and Risk Management of Distribution System Voltages with Non-Gaussian Probability Distributions
Yuanhai Gao, Xiaoyuan Xu, Zheng Yan +3
High renewable energy penetration into power distribution systems causes a substantial risk of exceeding voltage security limits, which needs to be accurately assessed and properly…
Optimal Hardening Strategy for Electricity-Hydrogen Networks with Hydrogen Leakage Risk Control against Extreme Weather
Sicheng Liu, Bo Yang, Xin Li +4
Defense hardening can effectively enhance the resilience of distribution networks against extreme weather disasters. Currently, most existing hardening strategies focus on reducing…
Flexible Operation of Electricity-HCNG Networks with Variable Hydrogen Fraction: A Distributionally Robust Joint Chance-Constrained Approach
Sicheng Liu, Bo Yang, Xu Yang +3
Hydrogen-enriched compressed natural gas (HCNG) is a promising way to utilize surplus renewable energy through hydrogen electrolysis and blending it into natural gas. However, the…
UAV-Enabled Data Collection for IoT Networks via Rainbow Learning
Yingchao Jiao, Xuhui Zhang, Wenchao Liu +5
Unmanned aerial vehicles (UAVs) enabled Internet of things (IoT) systems have become an important part of future wireless communications. To achieve higher communication rate, the…
On the Equilibrium of a Class of Leader-Follower Games with Decision-Dependent Chance Constraints
Jingxiang Wang, Zhaojian Wang, Bo Yang +2
In this paper, we study the existence of equilibrium in a single-leader-multiple-follower game with decision-dependent chance constraints (DDCCs), where decision-dependent uncertai…