activity
20202026
most citedBlockchain Based Zero-Knowledge Proof of Location in IoT

45 citations · 118 across the 24 of their papers we have counts for

collaborators

24 papers

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…

eess.SP2024★ 1 cited

Fast-Fading Channel and Power Optimization of the Magnetic Inductive Cellular Network

Honglei Ma, Erwu Liu, Zhijun Fang +4

The cellular network of magnetic Induction (MI) communication holds promise in long-distance underground environments. In the traditional MI communication, there is no fast-fading…

cs.CR2024★ 45 cited

Blockchain Based Zero-Knowledge Proof of Location in IoT

Wei Wu, Erwu Liu, Xinglin Gong +1

With the development of precise positioning technology, a growing number of location-based services (LBSs) facilitate people's life. Most LBSs require proof of location (PoL) to pr…

eess.SY2024

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…

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…

eess.SP2024

SNR Maximization and Localization for UAV-IRS-Assisted Near-Field Systems

Hanfu Zhang, Yidan Mei, Erwu Liu +1

This letter introduces a novel unmanned aerial vehicle (UAV)-intelligent reflecting surface (IRS) structure into near-field localization systems to enhance the design flexibility o…

cs.IT2024

A SER-based Device Selection Mechanism in Multi-bits Quantization Federated Learning

Pengcheng Sun, Erwu Liu, Rui Wang

The quality of wireless communication will directly affect the performance of federated learning (FL), so this paper analyze the influence of wireless communication on FL through s…

eess.SP2023★ 3 cited

Reconfigurable Intelligent Surface-Assisted Localization in OFDM Systems with Carrier Frequency Offset and Phase Noise

Hanfu Zhang, Erwu Liu, Rui Wang +4

Reconfigurable intelligent surface (RIS)-assisted communication systems have been extensively studied for providing high-precision location services. However, most studies have ove…

cs.NI2023

When Web 3.0 Meets Reality: A Hyperdimensional Fractal Polytope P2P Ecosystems

Hao Xu, Yunqing Sun, Xiaoshuai Zhang +2

Web 3.0 opens the world of new existence of the crypto-network-entity, which is independently defined by the public key pairs for entities and the connection to the Web 3.0 cybersp…

cs.IT2022

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…

cs.CR2021★ 10 cited

Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles

Rui Wang, Heju Li, Erwu Liu

The rapid increase of the data scale in Internet of Vehicles (IoV) system paradigm, hews out new possibilities in boosting the service quality for the emerging applications through…

cs.IT2021★ 9 cited

Joint Location and Communication Study for Intelligent Reflecting Surface Aided Wireless Communication System

Rui Wang, Zhe Xing, Erwu Liu

Intelligent reflecting surface (IRS) is a novel burgeoning concept, which possesses advantages in enhancing wireless communication and user localization, while maintaining low hard…

cs.IT2021★ 3 cited

Passive Beamforming Design and Channel Estimation for IRS Communication System with Few-Bit ADCs

Jingnan Li, Rui Wang, Erwu Liu

Utilizing intelligent reflecting surface (IRS) was proven to be efficient in improving the energy efficiency for wireless networks. In this paper, we investigate the passive beamfo…

cs.IT2020

Asymptotic Achievability of the Cramér-Rao Lower Bound of Channel Estimation for Reconfigurable Intelligent Surface Aided Communication Systems

Yiming Liu, Erwu Liu, Rui Wang +2

To achieve the joint active and passive beamforming gains in the reconfigurable intelligent surface assisted millimeter wave system, the reflected cascade channel needs to be accur…

cs.IT2020

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…

cs.LG2020★ 3 cited

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…

eess.SY2020★ 5 cited

Hierarchical Reinforcement Learning for Relay Selection and Power Optimization in Two-Hop Cooperative Relay Network

Yuanzhe Geng, Erwu Liu, Rui Wang +1

Cooperative communication is an effective approach to improve spectrum utilization. In order to reduce outage probability of communication system, most studies propose various sche…

cs.IT2020★ 7 cited

Reconfigurable Intelligent Surface Aided Wireless Localization

Yiming Liu, Erwu Liu, Rui Wang

The advantages of millimeter-wave and large antenna arrays technologies for accurate wireless localization received extensive attentions recently. However, how to further improve t…

cs.IT2020★ 3 cited

Beamforming Design and Performance Evaluation for Reconfigurable Intelligent Surface Assisted Wireless Communication Systems With Non-Ideal Hardware

Yiming Liu, Erwu Liu, Rui Wang +2

Reconfigurable intelligent surface (RIS) can effectively control the wavefront of the impinging signals and has emerged as a cost-effective promising solution to improve the spectr…

cs.IT2020★ 6 cited

Achievable Rate Analysis and Phase Shift Optimization on Intelligent Reflecting Surface with Hardware Impairments

Zhe Xing, Rui Wang, Jun Wu +1

Intelligent reflecting surface (IRS) is envisioned as a promising hardware solution to hardware cost and energy consumption in the fifth-generation (5G) mobile communication networ…

cs.IT2020★ 1 cited

Energy Efficiency Analysis of Intelligent Reflecting Surface System with Hardware Impairments

Yiming Liu, Erwu Liu, Rui Wang

Recently, as explosive growth of mobile data traffic, the performance of wireless communication systems requires to be enhanced significantly in future. Intelligent reflecting surf…

cs.IT2020★ 2 cited

Channel Estimation and Power Scaling Law of Large Reflecting Surface with Non-Ideal Hardware

Yiming Liu, Erwu Liu, Rui Wang +1

Large reflecting surface (LRS) has emerged as a new solution to improve the energy and spectrum efficiency of wireless communication system. Most existing studies were conducted wi…