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20142026
most citedMulti-Armed Bandit Based Client Scheduling for Federated Learning

313 citations · 1.5k across the 101 of their papers we have counts for

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17 papers · 1 filter

eess.SP2026

Toward Secure Communications for a UAV Swarm with Movable Antennas in SAGIN: CKM-Enabled Multi-Agent Reinforcement Learning Framework

Jiayang Wan, Yafei Wang, Jiawei Zhuang +2

Space-air-ground integrated networks (SAGINs) can provide ubiquitous and reliable connectivity for unmanned aerial vehicles (UAVs). However, air-to-ground links, which are typicall…

eess.SP2025

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems

Yuwen Cao, Guijun Liu, Tomoaki Ohtsuki +2

The deep autoencoder (DAE) framework has turned out to be efficient in reducing the channel state information (CSI) feedback overhead in massive multiple-input multipleoutput (mMIM…

eess.SP2024

Symbiotic Sensing and Communication: Framework and Beamforming Design

Fanghao Xia, Zesong Fei, Xinyi Wang +4

In this paper, we propose a novel symbiotic sensing and communication (SSAC) framework, comprising a base station (BS) and a passive sensing node. In particular, the BS transmits c…

eess.SP2024

Pilot-Aided Joint Time Synchronization and Channel Estimation for OTFS

Jiazheng Sun, Peng Yang, Xianbin Cao +3

This letter proposes a pilot-aided joint time synchronization and channel estimation (JTSCE) algorithm for orthogonal time frequency space (OTFS) systems. Unlike existing algorithm…

eess.SP2024★ 18 cited

Semantic-Enabled 6G Communication: A Task-oriented and Privacy-preserving Perspective

Shuaishuai Guo, Anbang Zhang, Yanhu Wang +2

Task-oriented semantic communication (ToSC) emerges as an innovative approach in the 6G landscape, characterized by the transmission of only vital information that is directly pert…

eess.SP2024

Wireless-Powered Mobile Crowdsensing Enhanced by UAV-Mounted RIS: Joint Transmission, Compression, and Trajectory Design

Yongqing Xu, Haoqing Qi, Zhiqin Wang +3

Mobile crowdsensing (MCS) enables data collection from massive devices to achieve a wide sensing range. Wireless power transfer (WPT) is a promising paradigm for prolonging the ope…

eess.SP2024

Multi-User Pilot Pattern Optimization for Channel Extrapolation in 5G NR Systems

Yubo Wan, An Liu, Tony Q. S. Quek

Pilot pattern optimization in orthogonal frequency division multiplexing (OFDM) systems has been widely investigated due to its positive impact on channel estimation. In this paper…

eess.SP2024

Harnessing the Power of AI-Generated Content for Semantic Communication

Yiru Wang, Wanting Yang, Zehui Xiong +3

Semantic Communication (SemCom) is envisaged as the next-generation paradigm to address challenges stemming from the conflicts between the increasing volume of transmission data an…

eess.SP2024★ 1 cited

RIS-Enhanced Cognitive Integrated Sensing and Communication: Joint Beamforming and Spectrum Sensing

Yongqing Xu, Yong Li, Tony Q. S. Quek

Cognitive radio (CR) and integrated sensing and communication (ISAC) are both critical technologies for the sixth generation (6G) wireless networks. However, their interplay has ye…

eess.SP2024

OFDM-Based Digital Semantic Communication with Importance Awareness

Chuanhong Liu, Caili Guo, Yang Yang +2

Semantic communication (SemCom) has received considerable attention for its ability to reduce data transmission size while maintaining task performance. However, existing works mai…

eess.SP2023★ 2 cited

Physical-layer Adversarial Robustness for Deep Learning-based Semantic Communications

Guoshun Nan, Zhichun Li, Jinli Zhai +7

End-to-end semantic communications (ESC) rely on deep neural networks (DNN) to boost communication efficiency by only transmitting the semantics of data, showing great potential fo…

eess.SP2023

Deep Learning and Image Super-Resolution-Guided Beam and Power Allocation for mmWave Networks

Yuwen Cao, Tomoaki Ohtsuki, Setareh Maghsudi +1

In this paper, we develop a deep learning (DL)-guided hybrid beam and power allocation approach for multiuser millimeter-wave (mmWave) networks, which facilitates swift beamforming…

eess.SP2023★ 2 cited

Explainable Semantic Communication for Text Tasks

Chuanhong Liu, Caili Guo, Yang Yang +4

Task-oriented semantic communication has gained increasing attention due to its ability to reduce the amount of transmitted data without sacrificing task performance. Although some…

eess.SP2021★ 1 cited

Non-Terrestrial Networks for UAVs: Base Station Service Provisioning Schemes with Antenna Tilt

Seongjun Kim, Minsu Kim, Jong Yeol Ryu +2

By focusing on unmanned aerial vehicle (UAV) communications in non-terrestrial networks (NTNs), this paper provides a guideline on the appropriate base station (BS) service provisi…

eess.SP2019★ 31 cited

Learn to Sense: a Meta-learning Based Sensing and Fusion Framework for Wireless Sensor Networks

Hui Wu, Zhaoyang Zhang, Chunxu Jiao +2

Wireless sensor networks (WSN) acts as the backbone of Internet of Things (IoT) technology. In WSN, field sensing and fusion are the most commonly seen problems, which involve coll…

eess.SP2019★ 3 cited

Multi-layer Unmanned Aerial Vehicle Networks: Modeling and Performance Analysis

Dongsun Kim, Jemin Lee, Tony Q. S. Quek

Since various types of unmanned aerial vehicles (UAVs) with different hardware capabilities are introduced, we establish a foundation for the multi-layer aerial network (MAN). Firs…

eess.SP2018

Performance Analysis for Multi-layer Unmanned Aerial Vehicle Networks

Dongsun Kim, Jemin Lee, Tony Q. S. Quek

In this paper, we provide the model of the multilayer aerial network (MAN), composed unmanned aerial vehicles (UAVs) that distributed in Poisson point process (PPP) with different…