9 citations · 24 across the 4 of their papers we have counts for
5 papers
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…
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…
Learning for Integer-Constrained Optimization through Neural Networks with Limited Training
Zhou Zhou, Shashank Jere, Lizhong Zheng +1
In this paper, we investigate a neural network-based learning approach towards solving an integer-constrained programming problem using very limited training. To be specific, we in…
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G
Shashank Jere, Qiang Fan, Bodong Shang +2
Owing to the large volume of sensed data from the enormous number of IoT devices in operation today, centralized machine learning algorithms operating on such data incur an unbeara…
RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training
Zhou Zhou, Lingjia Liu, Shashank Jere +3
In this paper, we investigate learning-based MIMO-OFDM symbol detection strategies focusing on a special recurrent neural network (RNN) -- reservoir computing (RC). We first introd…