Client Orchestration and Cost-Efficient Joint Optimization for NOMA-Enabled Hierarchical Federated Learning

no code implementations • 3 Nov 2023 • Bibo Wu, Fang Fang, Xianbin Wang, Donghong Cai, Shu Fu, Zhiguo Ding

Subsequently, given the fuzzy based client-edge association, a joint edge server scheduling and resource allocation problem is formulated.

Federated Learning Problem Decomposition +1

DeepGOMIMO: Deep Learning-Aided Generalized Optical MIMO with CSI-Free Blind Detection

no code implementations • 8 Oct 2021 • Xin Zhong, Chen Chen, Shu Fu, Zhihong Zeng, Min Liu

Generalized optical multiple-input multiple-output (GOMIMO) techniques have been recently shown to be promising for high-speed optical wireless communication (OWC) systems.

Deep Learning-Aided OFDM-Based Generalized Optical Quadrature Spatial Modulation

no code implementations • 24 Jun 2021 • Chen Chen, Lin Zeng, Xin Zhong, Shu Fu, Min Liu, Pengfei Du

In this paper, we propose an orthogonal frequency division multiplexing (OFDM)-based generalized optical quadrature spatial modulation (GOQSM) technique for multiple-input multiple-output optical wireless communication (MIMO-OWC) systems.

NOMA for Energy-Efficient LiFi-Enabled Bidirectional IoT Communication

no code implementations • 20 May 2020 • Chen Chen, Shu Fu, Xin Jian, Min Liu, Xiong Deng, Zhiguo Ding

In order to improve the energy efficiency (EE) of the bidirectional LiFi-IoT system, non-orthogonal multiple access (NOMA) with a quality-of-service (QoS)-guaranteed optimal power allocation (OPA) strategy is applied to maximize the EE of the system.