activity
20162022
most citedDistributed Scheduling using Graph Neural Networks

6 citations · 8 across the 4 of their papers we have counts for

collaborators

6 papers

cs.IT2022

Rethinking the Performance of ISAC System: From Efficiency and Utility Perspectives

Jiamo Jiang, Mingfeng Xu, Zhongyuan Zhao +4

Integrated sensing and communications (ISAC) is an essential technology for the 6G communication system, which enables the conventional wireless communication network capable of se…

eess.SP2020★ 6 cited

Distributed Scheduling using Graph Neural Networks

Zhongyuan Zhao, Gunjan Verma, Chirag Rao +2

A fundamental problem in the design of wireless networks is to efficiently schedule transmission in a distributed manner. The main challenge stems from the fact that optimal link s…

cs.NI2018

Meeting Real-Time Constraint of Spectrum Management in TV Black-Space Access

Zhongyuan Zhao

The TV set feedback feature standardized in the next generation TV system, ATSC 3.0, would enable opportunistic access of active TV channels in future Cognitive Radio Networks. Thi…

eess.SP2018

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks

Zhongyuan Zhao, Mehmet C. Vuran, Fujuan Guo +1

The (inverse) discrete Fourier transform (DFT/IDFT) is often perceived as essential to orthogonal frequency-division multiplexing (OFDM) systems. In this paper, a deep complex-valu…

cs.IT2017

Channel Matrix Sparsity with Imperfect Channel State Information in Cloud-Radio Access Networks

Di Chen, Zhongyuan Zhao, Zhendong Mao +1

Channel matrix sparsification is considered as a promising approach to reduce the progressing complexity in large-scale cloud-radio access networks (C-RANs) based on ideal channel…

cs.IT2016★ 2 cited

On the Spectral Efficiency and Security Enhancements of NOMA Assisted Multicast-Unicast Streaming

Zhiguo Ding, Zhongyuan Zhao, Mugen Peng +1

This paper considers the application of non-orthogonal multiple access (NOMA) to a multi-user network with mixed multicasting and unicasting traffic. The proposed design of beamfor…