no code implementations • 29 Sep 2022 • Xinyu Zhou, Jun Zhao, Huimei Han, Claude Guet
Federated Learning (FL) is an intriguing distributed machine learning approach due to its privacy-preserving characteristics.
no code implementations • 28 Sep 2022 • Peiyuan Si, Jun Zhao, Huimei Han, Kwok-Yan Lam, Yang Liu
With the development of blockchain and communication techniques, the Metaverse is considered as a promising next-generation Internet paradigm, which enables the connection between reality and the virtual world.
no code implementations • 16 Jan 2021 • Huimei Han, Wenchao Zhai, Jun Zhao
mMTC and URLLC will co-exist in MTC networks for 5G 6G-enabled smart city.
no code implementations • 25 Dec 2020 • Wenchao Zhai, Huimei Han, Lei Liu, Jun Zhao
In this paper, an LSTM-aided hybrid random access scheme (LSTMH-RA) is proposed to support diverse quality of service (QoS) requirements in 6G machine-type communication (MTC) networks, where massive MTC (mMTC) devices and ultra-reliable low latency communications (URLLC) devices coexist.
no code implementations • 13 Jul 2020 • Huimei Han, Wenchao Zhai, Zhefu Wu, Ying Li, Jun Zhao, Mingda Chen
Simulation results show that, compared to the exiting random access scheme for the crowded asynchronous massive MIMO systems, the proposed scheme can improve the uplink throughput and estimate the effective timing offsets accurately at the same time.
no code implementations • 7 Dec 2019 • Huimei Han, Jun Zhao, Zehui Xiong, Dusit Niyato, Wenchao Zhai, Marco Di Renzo, Quoc-Viet Pham, Weidang Lu
Our goalis to minimize the transmit power at the BS by jointly designing the transmit beamforming at the BSand the phase shifts of the passive elements at the RIS.