1 citations · 1 across the 4 of their papers we have counts for
5 papers
Error Rate Analysis for Grant-free Massive Random Access with Short-Packet Transmission
Xinyu Bian, Yuyi Mao, Jun Zhang
Grant-free massive random access (RA) is a promising protocol to support the massive machine-type communications (mMTC) scenario in 5G and beyond networks. In this paper, we focus…
Communication-Computation Efficient Device-Edge Co-Inference via AutoML
Xinjie Zhang, Jiawei Shao, Yuyi Mao +1
Device-edge co-inference, which partitions a deep neural network between a resource-constrained mobile device and an edge server, recently emerges as a promising paradigm to suppor…
Joint Activity Detection and Data Decoding in Massive Random Access via a Turbo Receiver
Xinyu Bian, Yuyi Mao, Jun Zhang
In this paper, we propose a turbo receiver for joint activity detection and data decoding in grant-free massive random access, which iterates between a detector and a belief propag…
Supporting More Active Users for Massive Access via Data-assisted Activity Detection
Xinyu Bian, Yuyi Mao, Jun Zhang
Massive machine-type communication (mMTC) has been regarded as one of the most important use scenarios in the fifth generation (5G) and beyond wireless networks, which demands scal…
Stochastic Joint Radio and Computational Resource Management for Multi-User Mobile-Edge Computing Systems
Yuyi Mao, Jun Zhang, S. H. Song +1
Mobile-edge computing (MEC) has recently emerged as a prominent technology to liberate mobile devices from computationally intensive workloads, by offloading them to the proximate…