most citedAntenna Optimization for Decode-and-Forward Relay in Magnetic Induction Communications

13 citations · 20 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2026

Effective Range and Optimal Frequency of Through-the-Earth Magnetic Induction Communication

Honglei Ma, Erwu Liu, Wei Ni +4

Magnetic induction communication (MIC) is a promising technology for through-the-earth (TTE) communication. Previous studies on the MIC range have often overlooked the impact of ed…

eess.SP2026

A Survey of Decentralized Physical Infrastructure Network,Research Directions, and Open Challenges

Ming Jiang, Erwu Liu, Xinyu Qu +3

The Decentralized Physical Infrastructure Network (DePIN) represents a transformative paradigm that redefines the construction, operation, and governance of Information and Communi…

eess.SY2026

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…

eess.SP2026★ 7 cited

Effect of Antenna Deployment on Achievable Rate in Cooperative Magnetic Induction Communication

Honglei Ma, Erwu Liu, Rui Wang +1

Magnetic Induction (MI) communication can be applied in some through-the-earth scenarios such as mines and underground rivers. To increase the transmission rate of MI communication…

eess.SP2026★ 13 cited

Antenna Optimization for Decode-and-Forward Relay in Magnetic Induction Communications

Honglei Ma, Erwu Liu, Rui Wang +4

Magnetic Induction (MI) communication is effective in underground tunnels for emergency rescue vehicle due to the small-size antenna. It can highly benefit from a cooperative decod…

cs.LG2024

Dual-Segment Clustering Strategy for Hierarchical Federated Learning in Heterogeneous Wireless Environments

Pengcheng Sun, Erwu Liu, Wei Ni +6

Non-independent and identically distributed (Non- IID) data adversely affects federated learning (FL) while heterogeneity in communication quality can undermine the reliability of…