528 citations · 2.5k across the 61 of their papers we have counts for
4 papers · 2 filters
An Efficient Bayesian PAPR Reduction Method for OFDM-Based Massive MIMO Systems
Hengyao Bao, Jun Fang, Zhi Chen +2
We consider the problem of peak-to-average power ratio (PAPR) reduction in orthogonal frequency-division multiplexing (OFDM) based massive multiple-input multiple-output (MIMO) dow…
On the Secrecy Capacity of a MIMO Gaussian Wiretap Channel with a Cooperative Jammer
Lingxiang Li, Zhi Chen, Jun Fang +1
We study the secrecy capacity of a helper-assisted Gaussian wiretap channel with a source, a legitimate receiver, an eavesdropper and an external helper, where each terminal is equ…
Two-Dimensional Pattern-Coupled Sparse Bayesian Learning via Generalized Approximate Message Passing
Jun Fang, Lizao Zhang, Hongbin Li
We consider the problem of recovering two-dimensional (2-D) block-sparse signals with \emph{unknown} cluster patterns. Two-dimensional block-sparse patterns arise naturally in many…
Computationally Efficient Sparse Bayesian Learning via Generalized Approximate Message Passing
Fuwei Li, Jun Fang, Huiping Duan +2
The sparse Beyesian learning (also referred to as Bayesian compressed sensing) algorithm is one of the most popular approaches for sparse signal recovery, and has demonstrated supe…