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20162021
most citedLearning for Detection: MIMO-OFDM Symbol Detection through Downlink Pilots

65 citations · 122 across the 14 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.IT2021★ 30 cited

RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection

Jiarui Xu, Zhou Zhou, Lianjun Li +2

In this paper, we introduce a structure-based neural network architecture, namely RC-Struct, for MIMO-OFDM symbol detection. The RC-Struct exploits the temporal structure of the MI…

eess.SP2021

Learning to Equalize OTFS

Zhou Zhou, Lingjia Liu, Jiarui Xu +1

Orthogonal Time Frequency Space (OTFS) is a novel framework that processes modulation symbols via a time-independent channel characterized by the delay-Doppler domain. The conventi…

eess.SP2021★ 9 cited

Federated Dynamic Spectrum Access

Yifei Song, Hao-Hsuan Chang, Zhou Zhou +2

Due to the growing volume of data traffic produced by the surge of Internet of Things (IoT) devices, the demand for radio spectrum resources is approaching their limitation defined…

eess.SP2021

Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing

Zhou Zhou, Kangjun Bai, Nima Mohammadi +2

This article introduces a neural network-based signal processing framework for intelligent reflecting surface (IRS) aided wireless communications systems. By modeling radio-frequen…

cs.LG2021

Harnessing Tensor Structures -- Multi-Mode Reservoir Computing and Its Application in Massive MIMO

Zhou Zhou, Lingjia Liu, Jiarui Xu

In this paper, we introduce a new neural network (NN) structure, multi-mode reservoir computing (Multi-Mode RC). It inherits the dynamic mechanism of RC and processes the forward p…