9 citations · 17 across the 8 of their papers we have counts for
12 papers
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…
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…
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…
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…
Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection
Zhou Zhou, Shashank Jere, Lizhong Zheng +1
In this paper, we explore neural network-based strategies for performing symbol detection in a MIMO-OFDM system. Building on a reservoir computing (RC)-based approach towards symbo…
Pareto Deterministic Policy Gradients and Its Application in 5G Massive MIMO Networks
Zhou Zhou, Yan Xin, Hao Chen +2
In this paper, we consider jointly optimizing cell load balance and network throughput via a reinforcement learning (RL) approach, where inter-cell handover (i.e., user association…