Erwu Liu
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View article: Joint Beamforming and Position Design for Movable Antenna Assisted LEO ISAC Systems
Joint Beamforming and Position Design for Movable Antenna Assisted LEO ISAC Systems Open
Low earth orbit (LEO) satellite-assisted integrated sensing and communications (ISAC) systems have been extensively studied to achieve ubiquitous connectivity. However, the severe signal attenuation and limited transmit power at LEO satell…
View article: LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments
LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments Open
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 parameter inversion techniques. Differential privacy (DP) tec…
View article: Through-the-Earth Magnetic Induction Communication and Networking: A Comprehensive Survey
Through-the-Earth Magnetic Induction Communication and Networking: A Comprehensive Survey Open
Magnetic induction (MI) communication (MIC) has emerged as a promising candidate for underground communication networks due to its excellent penetration capabilities. Integration with Space-Air-Ground-Underground (SAGUI) networks in next-g…
View article: Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning
Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning Open
One of the biggest challenges of building artificial intelligence (AI) model in the healthcare area is the data sharing. Since healthcare data is private, sensitive, and heterogeneous, collecting sufficient data for modelling is exhausting…
View article: A Mathematical Theory of Hyper-simplex Fractal Network for Blockchain: Part I
A Mathematical Theory of Hyper-simplex Fractal Network for Blockchain: Part I Open
Blockchain technology holds promise for Web 3.0, but scalability remains a critical challenge. Here, we present a mathematical theory for a novel blockchain network topology based on fractal N-dimensional simplexes. This Hyper-simplex frac…
View article: Blockchain-Enabled IoV: Secure Communication and Trustworthy Decision-Making
Blockchain-Enabled IoV: Secure Communication and Trustworthy Decision-Making Open
The Internet of Vehicles (IoV), which enables interactions between vehicles, infrastructure, and the environment, faces challenges in maintaining communication security and reliable automated decisions. This paper introduces a decentralize…
View article: Fast-Fading Channel and Power Optimization of the Magnetic Inductive Cellular Network
Fast-Fading Channel and Power Optimization of the Magnetic Inductive Cellular Network Open
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 channel since the MI channel is treated as a quasi-static c…
View article: Balancing Performance and Cost for Two-Hop Cooperative Communications: Stackelberg Game and Distributed Multi-Agent Reinforcement Learning
Balancing Performance and Cost for Two-Hop Cooperative Communications: Stackelberg Game and Distributed Multi-Agent Reinforcement Learning Open
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 decisions in a distributed manner. This differs from most ex…
View article: BeerReview: A Blockchain-enabled Peer Review Platform
BeerReview: A Blockchain-enabled Peer Review Platform Open
In an era of increasing concerns over intellectual property rights, traditional peer review systems face challenges including plagiarism, malicious attacks, and unauthorized data access. BeerReview, a blockchain-enabled peer review platfor…
View article: Dual-Segment Clustering Strategy for Hierarchical Federated Learning in Heterogeneous Wireless Environments
Dual-Segment Clustering Strategy for Hierarchical Federated Learning in Heterogeneous Wireless Environments Open
Non-independent and identically distributed (Non- IID) data adversely affects federated learning (FL) while heterogeneity in communication quality can undermine the reliability of model parameter transmission, potentially degrading wireles…
View article: BeACONS: A Blockchain-enabled Authentication and Communications Network for Scalable IoV
BeACONS: A Blockchain-enabled Authentication and Communications Network for Scalable IoV Open
This paper introduces a novel blockchain-enabled authentication and communications network for scalable Internet of Vehicles, which aims to bolster security and confidentiality, diminish communications latency, and reduce dependence on cen…
View article: SNR Maximization and Localization for UAV-IRS-Assisted Near-Field Systems
SNR Maximization and Localization for UAV-IRS-Assisted Near-Field Systems Open
This letter introduces a novel unmanned aerial vehicle (UAV)-intelligent reflecting surface (IRS) structure into near-field localization systems to enhance the design flexibility of IRS, thereby obtaining additional performance gains. Spec…
View article: A SER-based Device Selection Mechanism in Multi-bits Quantization Federated Learning
A SER-based Device Selection Mechanism in Multi-bits Quantization Federated Learning Open
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 symbol error rate (SER). In FL system, non-orthogonal multip…
View article: Blockchain for finance: A survey
Blockchain for finance: A survey Open
As an innovative technology for enhancing authenticity, security, and risk management, blockchain is being widely adopted in trade and finance systems. The unique capabilities of blockchain, such as immutability and transparency, enable ne…
View article: Blockchain for Finance: A Survey
Blockchain for Finance: A Survey Open
As an innovative technology for enhancing authenticity, security, and risk management, blockchain is being widely adopted in trade and finance systems. The unique capabilities of blockchain, such as immutability and transparency, enable ne…
View article: Multi-User Tracking in Reconfigurable Intelligent Surface Aided Near-Field Wireless Communications System
Multi-User Tracking in Reconfigurable Intelligent Surface Aided Near-Field Wireless Communications System Open
An uplink multi-user tracking problem aided by multiple passive reconfigurable intelligent surfaces (RISs) is addressed in this work. Under a near-field circumstance, a multi-antenna base station (BS) localizes multiple moving single-anten…
View article: Reconfigurable Intelligent Surface-Assisted Localization in OFDM Systems with Carrier Frequency Offset and Phase Noise
Reconfigurable Intelligent Surface-Assisted Localization in OFDM Systems with Carrier Frequency Offset and Phase Noise Open
Reconfigurable intelligent surface (RIS)-assisted communication systems have been extensively studied for providing high-precision location services. However, most studies have overlooked the impact of carrier frequency offset (CFO) and ph…
View article: Personalized federated learning via directed acyclic graph based blockchain
Personalized federated learning via directed acyclic graph based blockchain Open
Common federated learning (FL) lacks consideration of clients' personalized requirements, which performs poorly for the scenario with data and resource heterogeneity. In order to overcome the challenge of heterogeneous characteristics, thi…
View article: When Web 3.0 Meets Reality: A Hyperdimensional Fractal Polytope P2P Ecosystems
When Web 3.0 Meets Reality: A Hyperdimensional Fractal Polytope P2P Ecosystems Open
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 cyberspace. In this paper, we first discover a spacetime coordinat…
View article: Reinforcement Learning Based Robust Policy Design for Relay and Power Optimization in DF Relaying Networks
Reinforcement Learning Based Robust Policy Design for Relay and Power Optimization in DF Relaying Networks Open
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 of service, existing researches usually rely on the assump…
View article: Blockchain‐based indoor location paging and answering service with truncated‐geo‐indistinguishability
Blockchain‐based indoor location paging and answering service with truncated‐geo‐indistinguishability Open
Indoor location‐based services have numerous applications built on indoor navigation. Over the years, researchers have proposed various indoor navigation methods to find a certain point of interest. This paper proposes location paging and …
View article: Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles
Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles Open
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 data sharing. Nevertheless, privacy concerns are major bot…
View article: Joint Location and Communication Study for Intelligent Reflecting Surface Aided Wireless Communication System
Joint Location and Communication Study for Intelligent Reflecting Surface Aided Wireless Communication System Open
Intelligent reflecting surface (IRS) is a novel burgeoning concept, which possesses advantages in enhancing wireless communication and user localization, while maintaining low hardware cost and energy consumption. Herein, we establish an I…
View article: Welcome message from the Editors‐in‐Chief
Welcome message from the Editors‐in‐Chief Open
Welcome to IET Blockchain. It is a great pleasure and privilege to serve as its Founding Editors-in-Chief. Together with IET Chief Executive Nigel Fine, we announced the launch of IET Blockchain in the World Artificial Intelligence Confere…
View article: Passive Beamforming Design and Channel Estimation for IRS Communication System with Few-Bit ADCs
Passive Beamforming Design and Channel Estimation for IRS Communication System with Few-Bit ADCs Open
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 beamforming and channel estimation for IRS assisted wireless comm…
View article: Asymptotic Achievability of the Cramér-Rao Lower Bound of Channel Estimation for Reconfigurable Intelligent Surface Aided Communication Systems
Asymptotic Achievability of the Cramér-Rao Lower Bound of Channel Estimation for Reconfigurable Intelligent Surface Aided Communication Systems Open
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 accurately estimated. Many strategies have been proposed in the …
View article: Asymptotic Achievability of the Cram\'er-Rao Lower Bound of Channel Estimation for Reconfigurable Intelligent Surface Assisted Communication System
Asymptotic Achievability of the Cram\'er-Rao Lower Bound of Channel Estimation for Reconfigurable Intelligent Surface Assisted Communication System Open
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 accurately estimated. Many strategies have been proposed in the …
View article: Deep Deterministic Policy Gradient for Relay Selection and Power Allocation in Cooperative Communication Network
Deep Deterministic Policy Gradient for Relay Selection and Power Allocation in Cooperative Communication Network Open
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 accurate CSI in practical situations. In this letter, we stu…
View article: Hierarchical Reinforcement Learning for Relay Selection and Power Optimization in Two-Hop Cooperative Relay Network
Hierarchical Reinforcement Learning for Relay Selection and Power Optimization in Two-Hop Cooperative Relay Network Open
Cooperative communication is an effective approach to improve spectrum utilization. In order to reduce outage probability of communication system, most studies propose various schemes for relay selection and power allocation, which are bas…
View article: Dynamic Relay Selection and Power Allocation for Minimizing Outage Probability: A Hierarchical Reinforcement Learning Approach.
Dynamic Relay Selection and Power Allocation for Minimizing Outage Probability: A Hierarchical Reinforcement Learning Approach. Open
Cooperative communication is an effective approach to improve spectrum utilization. When considering relay selection and power allocation in cooperative communication, most of the existing studies require the assumption of channel state in…