activity
20172026
most citedA Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

1k citations · 4.4k across the 165 of their papers we have counts for

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Showing eess.SPShow all

16 papers · 1 filter

eess.SP2025

Feature Engineering for Wireless Communications and Networking: Concepts, Methodologies, and Applications

Jiacheng Wang, Changyuan Zhao, Zehui Xiong +5

AI-enabled wireless communications have attracted tremendous research interest in recent years, particularly with the rise of novel paradigms such as low-altitude integrated sensin…

eess.SP2024

Generative Artificial Intelligence Assisted Wireless Sensing: Human Flow Detection in Practical Communication Environments

Jiacheng Wang, Hongyang Du, Dusit Niyato +5

Groundbreaking applications such as ChatGPT have heightened research interest in generative artificial intelligence (GAI). Essentially, GAI excels not only in content generation bu…

eess.SP2023

STAR-RIS-Assisted Privacy Protection in Semantic Communication System

Yiru Wang, Wanting Yang, Pengxin Guan +2

Semantic communication (SemCom) has emerged as a promising architecture in the realm of intelligent communication paradigms. SemCom involves extracting and compressing the core inf…

eess.SP2023

AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information Sharing

Hongyang Du, Jiacheng Wang, Dusit Niyato +3

The next generation of Internet services, such as Metaverse, rely on mixed reality (MR) technology to provide immersive user experiences. However, the limited computation power of…

eess.SP2022

Performance Analysis of Free-Space Information Sharing in Full-Duplex Semantic Communications

Hongyang Du, Jiacheng Wang, Dusit Niyato +4

In next-generation Internet services, such as Metaverse, the mixed reality (MR) technique plays a vital role. Yet the limited computing capacity of the user-side MR headset-mounted…

eess.SP2022★ 3 cited

Semantic Communications for Wireless Sensing: RIS-aided Encoding and Self-supervised Decoding

Hongyang Du, Jiacheng Wang, Dusit Niyato +5

Semantic communications can reduce the resource consumption by transmitting task-related semantic information extracted from source messages. However, when the source messages are…

eess.SP2021★ 11 cited

Smart City Enabled by 5G/6G Networks: An Intelligent Hybrid Random Access Scheme

Huimei Han, Wenchao Zhai, Jun Zhao

The Internet of Things (IoT) is the enabler for smart city to achieve the envision of the "Internet of Everything" by intelligently connecting devices without human interventions.…

eess.SP2020

Intelligent Reflecting Surface Assisted Anti-Jamming Communications Based on Reinforcement Learning

Helin Yang, Zehui Xiong, Jun Zhao +4

Malicious jamming launched by smart jammer, which attacks legitimate transmissions has been regarded as one of the critical security challenges in wireless communications. Thus, th…

eess.SP2020★ 3 cited

Resource Allocation for Intelligent Reflecting Surface Aided Cooperative Communications

Yulan Gao, Chao Yong, Zehui Xiong +3

This paper investigates an intelligent reflecting surface (IRS) aided cooperative communication network, where the IRS exploits large reflecting elements to proactively steer the i…

eess.SP2020★ 14 cited

Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management

Helin Yang, Jun Zhao, Zehui Xiong +3

Unmanned aerial vehicles (UAVs) are capable of serving as flying base stations (BSs) for supporting data collection, artificial intelligence (AI) model training, and wireless commu…

eess.SP2020★ 24 cited

Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach

Wei Yang Bryan Lim, Jianqiang Huang, Zehui Xiong +5

Coupled with the rise of Deep Learning, the wealth of data and enhanced computation capabilities of Internet of Vehicles (IoV) components enable effective Artificial Intelligence (…

eess.SP2020★ 3 cited

A Stackelberg Game Approach to Resource Allocation for Intelligent Reflecting Surface Aided Communications

Yulan Gao, Chao Yong, Zehui Xiong +3

It is known that the capacity of the intelligent reflecting surface (IRS) aided cellular network can be effectively improved by reflecting the incident signals from the transmitter…

eess.SP2020★ 518 cited

Deep Reinforcement Learning Based Intelligent Reflecting Surface for Secure Wireless Communications

Helin Yang, Zehui Xiong, Jun Zhao +3

In this paper, we study an intelligent reflecting surface (IRS)-aided wireless secure communication system for physical layer security, where an IRS is deployed to adjust its surfa…

eess.SP2020★ 3 cited

Deep Reinforcement Learning Based Massive Access Management for Ultra-Reliable Low-Latency Communications

Helin Yang, Zehui Xiong, Jun Zhao +3

With the rapid deployment of the Internet of Things (IoT), fifth-generation (5G) and beyond 5G networks are required to support massive access of a huge number of devices over limi…

eess.SP2020★ 46 cited

Intelligent Reflecting Surface Meets Mobile Edge Computing: Enhancing Wireless Communications for Computation Offloading

Yang Liu, Jun Zhao, Zehui Xiong +4

We consider computation offloading for edge computing in a wireless network equipped with intelligent reflecting surfaces (IRSs). IRS is an emerging technology and has recently rec…

eess.SP2019

Reconfigurable Intelligent Surface Aided Power Control for Physical-Layer Broadcasting

Huimei Han, Jun Zhao, Zehui Xiong +5

Reconfigurable intelligent surface (RIS), a recently introduced technology for future wireless com-munication systems, enhances the spectral and energy efficiency by intelligently…