11 citations · 28 across the 12 of their papers we have counts for
12 papers
Enhancing Federated Learning with spectrum allocation optimization and device selection
Tinghao Zhang, Kwok-Yan Lam, Jun Zhao +3
Machine learning (ML) is a widely accepted means for supporting customized services for mobile devices and applications. Federated Learning (FL), which is a promising approach to i…
Resource Allocation and Resolution Control in the Metaverse with Mobile Augmented Reality
Peiyuan Si, Jun Zhao, Huimei Han +2
With the development of blockchain and communication techniques, the Metaverse is considered as a promising next-generation Internet paradigm, which enables the connection between…
Joint Optimization of Energy Consumption and Completion Time in Federated Learning
Xinyu Zhou, Jun Zhao, Huimei Han +1
Federated Learning (FL) is an intriguing distributed machine learning approach due to its privacy-preserving characteristics. To balance the trade-off between energy and execution…
6G Downlink Transmission via Rate Splitting Space Division Multiple Access Based on Grouped Code Index Modulation
Wenchao Zhai, Yishan Wu, Jun Zhao +1
A novel rate splitting space division multiple access (SDMA) scheme based on grouped code index modulation (GrCIM) is proposed for the sixth generation (6G) downlink transmission.…
Smart City Enabled by 5G/6G Networks: An Intelligent Hybrid Random Access Scheme
Huimei Han, Wenchao Zhai, Jun Zhao
The Internet of Things (IoT) is the enabler for smart city to achieve the envision of the "Internet of Everything" by intelligently connecting devices without human interventions.…
A GCICA Grant-Free Random Access Scheme for M2M Communications in Crowded Massive MIMO Systems
Huimei Han, Lushun Fang, Weidang Lu +3
A high success rate of grant-free random access scheme is proposed to support massive access for machine-to-machine communications in massive multipleinput multiple-output systems.…
An LSTM-Aided Hybrid Random Access Scheme for 6G Machine Type Communication Networks
Wenchao Zhai, Huimei Han, Lei Liu +1
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) netw…
A novel random access scheme for M2M communication in crowded asynchronous massive MIMO systems
Huimei Han, Wenchao Zhai, Zhefu Wu +3
A new random access scheme is proposed to solve the intra-cell pilot collision for M2M communication in crowded asynchronous massive multiple-input multiple-output (MIMO) systems.…
Reconfigurable Intelligent Surface Aided Power Control for Physical-Layer Broadcasting
Huimei Han, Jun Zhao, Zehui Xiong +5
Reconfigurable intelligent surface (RIS), a recently introduced technology for future wireless com-munication systems, enhances the spectral and energy efficiency by intelligently…
Intelligent Reflecting Surface Aided Network: Power Control for Physical-Layer Broadcasting
Huimei Han, Jun Zhao, Dusit Niyato +2
As a recently proposed idea for future wireless systems, intelligent reflecting surface (IRS) can assist communications between entities which do not have high-quality direct chann…
Sparse Message Passing Based Preamble Estimation for Crowded M2M Communications
Zhaoji Zhang, Ying Li, Lei Liu +1
Due to the massive number of devices in the M2M communication era, new challenges have been brought to the existing random-access (RA) mechanism, such as severe preamble collisions…
A High Throughput Pilot Allocation for M2M Communication in Crowded Massive MIMO Systems
Huimei Han, Xudong Guo, Ying Li
A new scheme to resolve the intra-cell pilot collision for M2M communication in crowded massive multiple-input multiple-output (MIMO) systems is proposed. The proposed scheme permi…