3 citations · 7 across the 8 of their papers we have counts for
8 papers
PoVD: Efficient Consensus Protocol based on Verifiable Delay Function
Rui Jiang, Xintong Ling, Bin Cao +3
Consensus protocols ensure the robustness and scalability of blockchains and decentralized applications built on them. However, existing consensus mechanisms often impose high comp…
A Unifying View of OTFS and Its Many Variants
Qinwen Deng, Yao Ge, Zhi Ding
High mobility environment leads to severe Doppler effects and poses serious challenges to the conventional physical layer based on the widely popular orthogonal frequency division…
BagChain: A Dual-functional Blockchain Leveraging Bagging-based Distributed Learning
Zixiang Cui, Xintong Ling, Xingyu Zhou +3
This work proposes a dual-functional blockchain framework named BagChain for bagging-based decentralized learning. BagChain integrates blockchain with distributed machine learning…
Fast Adaptation for Deep Learning-based Wireless Communications
Ouya Wang, Hengtao He, Shenglong Zhou +4
The integration with artificial intelligence (AI) is recognized as one of the six usage scenarios in next-generation wireless communications. However, several critical challenges h…
Exploring Age-of-Information Weighting in Federated Learning under Data Heterogeneity
Kaidi Wang, Zhiguo Ding, Daniel K. C. So +1
This paper investigates federated learning in a wireless communication system, where random device selection is employed with non-independent and identically distributed (non-IID)…
Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection
Wenhao Zhuang, Yuyi Mao, Hengtao He +4
Orthogonal time frequency space (OTFS) modulation has emerged as a promising solution to support high-mobility wireless communications, for which, cost-effective data detectors are…
Jamming Suppression Via Resource Hopping in High-Mobility OTFS-SCMA Systems
Qinwen Deng, Yao Ge, Zhi Ding
This letter studies the mechanism of uplink multiple access and jamming suppression in an OTFS system. Specifically, we propose a novel resource hopping mechanism for orthogonal ti…
Deep Learning for Efficient CSI Feedback in Massive MIMO: Adapting to New Environments and Small Datasets
Zhenyu Liu, Li Wang, Lianming Xu +1
Deep learning (DL)-based channel state information (CSI) feedback has shown promising potential to improve spectrum efficiency in massive MIMO systems. However, practical DL approa…