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20152022
most citedApproximate Message Passing with Unitary Transformation

58 citations · 150 across the 13 of their papers we have counts for

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Showing cs.ITShow all

6 papers · 1 filter

cs.IT2021★ 2 cited

Grant Free MIMO-NOMA with Differential Modulation for Machine Type Communications

Yuanyuan Zhang, Zhengdao Yuan, Qinghua Guo +4

This paper considers a challenging scenario of machine type communications, where we assume internet of things (IoT) devices send short packets sporadically to an access point (AP)…

cs.IT2020

Bayesian Receiver Design for Grant-Free NOMA with Message Passing Based Structured Signal Estimation

Yuanyuan Zhang, Zhengdao Yuan, Qinghua Guo +3

Grant-free non-orthogonal multiple access (NOMA) is promising to achieve low latency massive access in Internet of Things (IoT) applications. In grant-free NOMA, pilot signals are…

cs.IT2018★ 36 cited

Linear Shrinkage Estimation of Covariance Matrices Using Low-Complexity Cross-Validation

Jun Tong, Rui Hu, Jiangtao Xi +3

Shrinkage can effectively improve the condition number and accuracy of covariance matrix estimation, especially for low-sample-support applications with the number of training samp…

cs.IT2018★ 22 cited

Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments

Rui Hu, Jun Tong, Jiangtao Xi +2

Hybrid massive MIMO structures with reduced hardware complexity and power consumption have been widely studied as a potential candidate for millimeter wave (mmWave) communications.…

cs.IT2016

Low-Complexity and Basis-Free Channel Estimation for Switch-Based mmWave MIMO Systems via Matrix Completion

Rui Hu, Jun Tong, Jiangtao Xi +2

Recently, a switch-based hybrid massive MIMO structure that aims to reduce the hardware complexity and power consumption has been proposed as a potential candidate for millimeter w…

cs.IT2015★ 58 cited

Approximate Message Passing with Unitary Transformation

Qinghua Guo, Jiangtao Xi

Approximate message passing (AMP) and its variants, developed based on loopy belief propagation, are attractive for estimating a vector x from a noisy version of z = Ax, which aris…