5 citations · 10 across the 8 of their papers we have counts for
8 papers
Cooperative MARL-Based Energy-Efficient Power Control for Two-Hop Relaying Networks
Xinyu Qu, Yuanzhe Geng, Erwu Liu +1
In this paper, we study a cooperative game in the cooperative communication network, where each relay makes decisions autonomously and aims to achieve the same optimization objecti…
LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments
Pengcheng Sun, Erwu Liu, Wei Ni +4
Federated Learning (FL) is a distributed machine learning paradigm based on protecting data privacy of devices, which however, can still be broken by gradient leakage attack via pa…
Balancing Performance and Cost for Two-Hop Cooperative Communications: Stackelberg Game and Distributed Multi-Agent Reinforcement Learning
Yuanzhe Geng, Erwu Liu, Wei Ni +5
This paper aims to balance performance and cost in a two-hop wireless cooperative communication network where the source and relays have contradictory optimization goals and make d…
Reinforcement Learning Based Robust Policy Design for Relay and Power Optimization in DF Relaying Networks
Yuanzhe Geng, Erwu Liu, Rui Wang +2
In this paper, we study the outage minimization problem in a decode-and-forward cooperative network with relay uncertainty. To reduce the outage probability and improve the quality…
Deep Deterministic Policy Gradient for Relay Selection and Power Allocation in Cooperative Communication Network
Yuanzhe Geng, Erwu Liu, Rui Wang +4
Perfect channel state information (CSI) is usually required when considering relay selection and power allocation in cooperative communication. However, it is difficult to get an a…
Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time
Yuanzhe Geng, Erwu Liu, Rui Wang +1
Route planning is important in transportation. Existing works focus on finding the shortest path solution or using metrics such as safety and energy consumption to determine the pl…