82 citations · 246 across the 24 of their papers we have counts for
7 papers · 1 filter
Turbo-like Iterative Multi-user Receiver Design for 5G Non-orthogonal Multiple Access
Xiangming Meng, Yiqun Wu, Chao Wang +1
Non-orthogonal multiple access (NoMA) as an efficient way of radio resource sharing has been identified as a promising technology in 5G to help improving system capacity, user conn…
A Universal Receiver for Uplink NOMA Systems
Xiangming Meng, Yiqun Wu, Chao Wang +1
Given its capability in efficient radio resource sharing, non-orthogonal multiple access (NOMA) has been identified as a promising technology in 5G to improve the system capacity,…
Grid-less Variational Bayesian Inference of Line Spectral from Quantized Samples
Jiang Zhu, Qi Zhang, Xiangming Meng
Efficient estimation of line spectral from quantized samples is of significant importance in information theory and signal processing, e.g., channel estimation in energy efficient…
Bilinear Adaptive Generalized Vector Approximate Message Passing
Xiangming Meng, Jiang Zhu
This paper considers the generalized bilinear recovery problem which aims to jointly recover the vector and the matrix from componentwise nonlinear measurem…
Compressive Massive Random Access for Massive Machine-Type Communications (mMTC)
Malong Ke, Zhen Gao, Yongpeng Wu +1
In future wireless networks, one fundamental challenge for massive machine-type communications (mMTC) lies in the reliable support of massive connectivity with low latency. Against…
Vector Approximate Message Passing Algorithm for Structured Perturbed Sensing Matrix
Jiang Zhu, Qi Zhang, Xiangming Meng +1
In this paper, we consider a general form of noisy compressive sensing (CS) where the sensing matrix is not precisely known. Such cases exist when there are imperfections or unknow…
Binary Sparse Bayesian Learning Algorithm for One-bit Compressed Sensing
Jiang Zhu, Lin Han, Xiangming Meng +1
In this letter, a binary sparse Bayesian learning (BSBL) algorithm is proposed to slove the one-bit compressed sensing (CS) problem in both single measurement vector (SMV) and mult…