activity
20132023
most citedFederated Learning via Intelligent Reflecting Surface

210 citations · 1.1k across the 95 of their papers we have counts for

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Showing 2020Show all

17 papers · 1 filter

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.IT2020★ 6 cited

Fast Convergence Algorithm for Analog Federated Learning

Shuhao Xia, Jingyang Zhu, Yuhan Yang +3

In this paper, we consider federated learning (FL) over a noisy fading multiple access channel (MAC), where an edge server aggregates the local models transmitted by multiple end d…

cs.IT2020

Reconfigurable Intelligent Surface Assisted Massive MIMO with Antenna Selection

Jinglian He, Kaiqiang Yu, Yuanming Shi +3

Antenna selection is capable of reducing the hardware complexity of massive multiple-input multiple-output (MIMO) networks at the cost of certain performance degradation. Reconfigu…

cs.IT2020★ 4 cited

Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis

Yifei Shen, Yuanming Shi, Jun Zhang +1

Deep learning has recently emerged as a disruptive technology to solve challenging radio resource management problems in wireless networks. However, the neural network architecture…

eess.SP2020

Distributed Optimization for Massive Connectivity

Yuning Jiang, Junyan Su, Yuanming Shi +1

Massive device connectivity in Internet of Thing (IoT) networks with sporadic traffic poses significant communication challenges. To overcome this challenge, the serving base stati…

eess.SP2020★ 7 cited

Reconfigurable Intelligent Surface Enhanced Cognitive Radio Networks

Jinglian He, Kaiqiang Yu, Yong Zhou +1

The cognitive radio (CR) network is a promising network architecture that meets the requirement of enhancing scarce radio spectrum utilization. Meanwhile, reconfigurable intelligen…

cs.IT2020★ 3 cited

Outage Minimization for Intelligent Reflecting Surface Aided MISO Communication Systems via Stochastic Beamforming

Wenzhi Fang, Min Fu, Yuanming Shi +1

Intelligent reflecting surface (IRS) has the potential to significantly enhance the network performance by reconfiguring the wireless propagation environments. It is however diffic…

eess.SP2020★ 3 cited

Reconfigurable Intelligent Surface for Interference Alignment in MIMO Device-to-Device Networks

Min Fu, Yong Zhou, Yuanming Shi

In multiple-input multiple-output (MIMO) device-to-device (D2D) networks, interference and rank-deficient channels are the critical bottlenecks for achieving high degrees of freedo…

cs.IT2020★ 2 cited

Towards Reconfigurable Intelligent Surfaces Powered Green Wireless Networks

Siyuan Sun, Min Fu, Yuanming Shi +1

The adoption of reconfigurable intelligent surface (RIS) in wireless networks can enhance the spectrum- and energy-efficiency by controlling the propagation environment. Although t…

cs.IT2020★ 3 cited

Stochastic Beamforming for Reconfigurable Intelligent Surface Aided Over-the-Air Computation

Wenzhi Fang, Min Fu, Kunlun Wang +2

Over-the-air computation (AirComp) is a promising technology that is capable of achieving fast data aggregation in Internet of Things (IoT) networks. The mean-squared error (MSE) p…

eess.SP2020★ 3 cited

Communication-Efficient Edge AI Inference Over Wireless Networks

Kai Yang, Yong Zhou, Zhanpeng Yang +1

Given the fast growth of intelligent devices, it is expected that a large number of high-stake artificial intelligence (AI) applications, e.g., drones, autonomous cars, tactile rob…

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.IT2020

Sparse Optimization for Green Edge AI Inference

Xiangyu Yang, Sheng Hua, Yuanming Shi +3

With the rapid upsurge of deep learning tasks at the network edge, effective edge artificial intelligence (AI) inference becomes critical to provide low-latency intelligent service…

cs.IT2020★ 26 cited

Communication-Efficient Edge AI: Algorithms and Systems

Yuanming Shi, Kai Yang, Tao Jiang +2

Artificial intelligence (AI) has achieved remarkable breakthroughs in a wide range of fields, ranging from speech processing, image classification to drug discovery. This is driven…

cs.IT2020★ 6 cited

Coordinated Passive Beamforming for Distributed Intelligent Reflecting Surfaces Network

Jinglian He, Kaiqiang Yu, Yuanming Shi

Intelligent reflecting surface (IRS) is a proposing technology in 6G to enhance the performance of wireless networks by smartly reconfiguring the propagation environment with a lar…

cs.LG2020★ 9 cited

Faster Activity and Data Detection in Massive Random Access: A Multi-armed Bandit Approach

Jialin Dong, Jun Zhang, Yuanming Shi +1

This paper investigates the grant-free random access with massive IoT devices. By embedding the data symbols in the signature sequences, joint device activity detection and data de…

cs.IT2020★ 53 cited

Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities

Xiaojun Yuan, Ying-Jun Angela Zhang, Yuanming Shi +2

Reconfigurable intelligent surfaces (RISs) are regarded as a promising emerging hardware technology to improve the spectrum and energy efficiency of wireless networks by artificial…