444 citations · 1.2k across the 39 of their papers we have counts for
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cs.IT2015
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…
cs.IT2015★ 2 cited
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…
cs.IT2015★ 2 cited
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…