3 papers
eess.SP2020
Machine Learning Enabled Preamble Collision Resolution in Distributed Massive MIMO
Jie Ding, Daiming Qu, Pei Liu +1
Preamble collision is a bottleneck that impairs the performance of random access (RA) user equipment (UE) in grant-free RA (GFRA). In this paper, by leveraging distributed massive…
cs.IT2018
Spectral Efficiency Analysis of Multi-Cell Massive MIMO Systems with Ricean Fading
Pei Liu, Kai Luo, Da Chen +2
This paper investigates the spectral efficiency of multi-cell massive multiple-input multiple-output systems with Ricean fading that utilize the linear maximal-ratio combining dete…
cs.IT2018
Spectral Efficiency Analysis of Cell-Free Massive MIMO Systems with Zero-Forcing Detector
Pei Liu, Kai Luo, Da Chen +1
In this paper, we firstly derive two approximations of the achievable uplink rate with the perfect/imperfect channel state information (CSI) in cell-free massive multi-input multi-…