6 papers
Avoiding Non-Integrable Beliefs in Expectation Propagation
Zilu Zhao, Jichao Chen, Dirk Slock
Expectation Propagation (EP) is a widely used iterative message-passing algorithm that decomposes a global inference problem into multiple local ones. It approximates marginal dist…
Approximating Univariate Factored Distributions via Message-Passing Algorithms
Zilu Zhao, Dirk Slock
Gaussian Mixture Models (GMMs) commonly arise in communication systems, particularly in bilinear joint estimation and detection problems. Although the product of GMMs is still a GM…
Expectations in Expectation Propagation
Zilu Zhao, Fangqing Xiao, Dirk Slock
Expectation Propagation (EP) is a widely used message-passing algorithm that decomposes a global inference problem into multiple local ones. It approximates marginal distributions…
Bayesian Learning for Pilot Decontamination in Cell-Free Massive MIMO
Christian Forsch, Zilu Zhao, Dirk Slock +1
Pilot contamination (PC) arises when the pilot sequences assigned to user equipments (UEs) are not mutually orthogonal, eventually due to their reuse. In this work, we propose a no…
Distributed Iterative ML and Message Passing for Grant-Free Cell-Free Massive MIMO Systems
Zilu Zhao, Christian Forsch, Laura Cottatellucci +1
Cell-Free (CF) Massive Multiple-Input Multiple-Output (MaMIMO) is considered one of the leading candidates for enabling next-generation wireless communication. With the growing int…
Decentralized Expectation Propagation for Semi-Blind Channel Estimation in Cell-Free Networks
Zilu Zhao, Dirk Slock
This paper serves as a correction to the conference version. In this work, we explore uplink communication in cell-free (CF) massive multiple-input multiple-output (MaMIMO) systems…