most citedModel-Driven Deep Learning for Non-Coherent Massive Machine-Type Communications

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.NI2023

Millimeter Wave Full-Duplex Networks: MAC Design and Throughput Optimization

Shengbo Liu, Wen Wu, Liqun Fu +4

Full-duplex (FD) technique can remarkably boost the network capacity in the millimeter wave (mmWave) bands by enabling simultaneous transmission and reception. However, due to dire…

cs.IT2023★ 1 cited

Model-Driven Deep Learning for Non-Coherent Massive Machine-Type Communications

Zhe Ma, Wen Wu, Feifei Gao +2

In this paper, we investigate the joint device activity and data detection in massive machine-type communications (mMTC) with a one-phase non-coherent scheme, where data bits are e…