31 citations · 64 across the 7 of their papers we have counts for
7 papers
Traffic-Aware Hierarchical Beam Selection for Cell-Free Massive MIMO
Chenyang Wang, Cheng Zhang, Fan Meng +2
Beam selection for joint transmission in cell-free massive multi-input multi-output systems faces the problem of extremely high training overhead and computational complexity. The…
Learning-Aided Beam Prediction in mmWave MU-MIMO Systems for High-Speed Railway
Fan Meng, Shengheng Liu, Yongming Huang +1
The problem of beam alignment and tracking in high mobility scenarios such as high-speed railway (HSR) becomes extremely challenging, since large overhead cost and significant time…
Learnable Model-Driven Performance Prediction and Optimization for Imperfect MIMO System: Framework and Application
Fan Meng, Shengheng Liu, Yongming Huang +1
State-of-the-art schemes for performance analysis and optimization of multiple-input multiple-output systems generally experience degradation or even become invalid in dynamic comp…
Increasing and Diverging Greenhouse Gas Emissions of Urban Wastewater Treatment in China
Yujun Huang, Shuming Liu, Fanlin Meng +1
Upgrading effluent standards of wastewater treatment plants (WWTPs) and repairing sewerage systems leads to contradictions and synergies between water pollution control and climate…
Multiple Dynamic Pricing for Demand Response with Adaptive Clustering-based Customer Segmentation in Smart Grids
Fanlin Meng, Qian Ma, Zixu Liu +1
In this paper, we propose a realistic multiple dynamic pricing approach to demand response in the retail market. First, an adaptive clustering-based customer segmentation framework…
An Integrated Optimization + Learning Approach to Optimal Dynamic Pricing for the Retailer with Multi-type Customers in Smart Grids
Fanlin Meng, Xiao-Jun Zeng, Yan Zhang +2
In this paper, we consider a realistic and meaningful scenario in the context of smart grids where an electricity retailer serves three different types of customers, i.e., customer…
A Hybrid Optimization Approach to Demand Response Management for the Smart Grid
Fan-Lin Meng, Xiao-Jun Zeng
This paper proposes a hybrid approach to optimal day-ahead pricing for demand response management. At the customer-side, compared with the existing work, a detailed, comprehensive…