Reliable Federated Learning for Mobile Networks

no code implementations • 14 Oct 2019 • Jiawen Kang, Zehui Xiong, Dusit Niyato, Yuze Zou, Yang Zhang, Mohsen Guizani

Based on this metric, a reliable worker selection scheme is proposed for federated learning tasks.

Cryptography and Security

Robust Beamforming for IRS-assisted Wireless Communications under Channel Uncertainty

no code implementations • 14 May 2020 • Yongchang Deng, Yuze Zou, Shimin Gong, Bin Lyu, Dinh Thai Hoang, Dusit Niyato

By adjusting the magnitude of reflecting coefficients, the IRS can sustain its operations by harvesting energy from the AP's signal beamforming.

Optimization-driven Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications

no code implementations • 25 May 2020 • Jiaye Lin, Yuze Zou, Xiaoru Dong, Shimin Gong, Dinh Thai Hoang, Dusit Niyato

Intelligent reflecting surface (IRS) is a promising technology to assist downlink information transmissions from a multi-antenna access point (AP) to a receiver.

Reinforcement Learning (RL)

Optimization-driven Hierarchical Learning Framework for Wireless Powered Backscatter-aided Relay Communications

no code implementations • 4 Aug 2020 • Shimin Gong, Yuze Zou, Jing Xu, Dinh Thai Hoang, Bin Lyu, Dusit Niyato

In this paper, we employ multiple wireless-powered relays to assist information transmission from a multi-antenna access point to a single-antenna receiver.