activity
20092023
most citedFederated Learning via Intelligent Reflecting Surface

210 citations · 262 across the 18 of their papers we have counts for

collaborators

19 papers

cs.IT2023

IRS-Aided Sectorized Base Station Design and 3D Coverage Performance Analysis

Xintong Chen, Jiangbin Lyu, Liqun Fu

Intelligent reflecting surface (IRS) is regarded as a revolutionary paradigm that can reconfigure the wireless propagation environment for enhancing the desired signal and/or weake…

cs.NI2023

Millimeter Wave Full-Duplex Networks: MAC Design and Throughput Optimization

Shengbo Liu, Wen Wu, Liqun Fu +4

Full-duplex (FD) technique can remarkably boost the network capacity in the millimeter wave (mmWave) bands by enabling simultaneous transmission and reception. However, due to dire…

eess.SP2023★ 9 cited

Machine Learning for Large-Scale Optimization in 6G Wireless Networks

Yandong Shi, Lixiang Lian, Yuanming Shi +6

The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from "connected things" to "connected intelligence", featured by ultra high density, large-sc…

eess.SP2022★ 2 cited

Quick and Reliable LoRa Physical-layer Data Aggregation through Multi-Packet Reception

Lizhao You, Zhirong Tang, Pengbo Wang +3

This paper presents a Long Range (LoRa) physical-layer data aggregation system (LoRaPDA) that aggregates data (e.g., sum, average, min, max) directly in the physical layer. In part…

cs.IT2022

Broadband Digital Over-the-Air Computation for Wireless Federated Edge Learning

Lizhao You, Xinbo Zhao, Rui Cao +2

This paper presents the first orthogonal frequency-division multiplexing(OFDM)-based digital over-the-air computation (AirComp) system for wireless federated edge learning, where m…

cs.IT2021

Energy-Efficient Trajectory Design for UAV-Aided Maritime Data Collection in Wind

Yifan Zhang, Jiangbin Lyu, Liqun Fu

Unmanned aerial vehicles (UAVs), especially fixed-wing ones that withstand strong winds, have great potential for oceanic exploration and research. This paper studies a UAV-aided m…

cs.IT2021★ 2 cited

Broadband Digital Over-the-Air Computation for Asynchronous Federated Edge Learning

Xinbo Zhao, Lizhao You, Rui Cao +2

This paper presents the first broadband digital over-the-air computation (AirComp) system for phase asynchronous OFDM-based federated edge learning systems. Existing analog AirComp…

cs.IT2021

Placement Optimization and Power Control in Intelligent Reflecting Surface Aided Multiuser System

Bifeng Ling, Jiangbin Lyu, Liqun Fu

Intelligent reflecting surface (IRS) is a new and revolutionary technology capable of reconfiguring the wireless propagation environment by controlling its massive low-cost passive…

cs.IT2020★ 210 cited

Federated Learning via Intelligent Reflecting Surface

Zhibin Wang, Jiahang Qiu, Yong Zhou +4

Over-the-air computation (AirComp) based federated learning (FL) is capable of achieving fast model aggregation by exploiting the waveform superposition property of multiple access…

cs.NI2020★ 1 cited

The optimal network throughputs when the model-aware node coexists with other nodes using different MAC protocols

Xiaowen Ye, Yiding Yu, Liqun Fu

In this document, we give the optimal network throughput when the DR-DLMA node (see our paper for definition) coexists with the nodes using other protocol (e.g., TDMA and/or ALOHA)…

cs.IT2020★ 3 cited

Analysis and Optimization for Large-Scale LoRa Networks: Throughput Fairness and Scalability

Jiangbin Lyu, Dan Yu, Liqun Fu

LoRa networks are pivotally enabling Long Range connectivity to low-cost and power-constrained user equipments (UEs) in a wide area, whereas a critical issue is to effectively allo…

eess.SP2020

Energy-Efficient Cyclical Trajectory Design for UAV-Aided Maritime Data Collection in Wind

Yifan Zhang, Jiangbin Lyu, Liqun Fu

Unmanned aerial vehicles (UAVs), especially fixed-wing ones that withstand strong winds, have great potential for oceanic exploration and research. This paper studies a UAV-aided m…

eess.SP2020★ 14 cited

Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface

Kai Yang, Yuanming Shi, Yong Zhou +3

Intelligent Internet-of-Things (IoT) will be transformative with the advancement of artificial intelligence and high-dimensional data analysis, shifting from "connected things" to…

cs.IT2019★ 3 cited

Placement Optimization of Aerial Base Stations with Deep Reinforcement Learning

Jin Qiu, Jiangbin Lyu, Liqun Fu

Unmanned aerial vehicles (UAVs) can be utilized as aerial base stations (ABSs) to assist terrestrial infrastructure for keeping wireless connectivity in various emergency scenarios…

cs.IT2019★ 13 cited

Achieving Max-Min Throughput in LoRa Networks

Jiangbin Lyu, Dan Yu, Liqun Fu

With growing popularity, LoRa networks are pivotally enabling Long Range connectivity to low-cost and power-constrained user equipments (UEs). Due to its wide coverage area, a crit…

cs.IT2015

Energy efficient D2D communications in dynamic TDD systems

Demia Della Penda, Liqun Fu, Mikael Johansson

Network-assisted device-to-device communication is a promising technology for improving the performance of proximity-based services. This paper demonstrates how the integration of…

cs.NI2011★ 1 cited

Link Scheduling in Multi-Transmit-Receive Wireless Networks

Hong-Ning Dai, Soung Chang Liew, Liqun Fu

This paper investigates the problem of link scheduling to meet traffic demands with minimum airtime in a multi-transmit-receive (MTR) wireless network. MTR networks are a new class…

cs.NI2009

Effective Carrier Sensing in CSMA Networks under Cumulative Interference

Liqun Fu, Soung Chang Liew, Jianwei Huang

This paper proposes and investigates the concept of a safe carrier-sensing range that can guarantee interference safe (also termed hidden-node-free) transmissions in CSMA networks…

cs.NI2009★ 4 cited

Safe Carrier Sensing Range in CSMA Network under Physical Interference Model

Liqun Fu, Soung Chang Liew, Jianwei Huang

In this paper, we study the setting of carrier-sensing range in 802.11 networks under the (cumulative) physical interference model. Specifically, we identify a carrier-sensing rang…