论文标题
分布式MIMO中的活动检测：通过可能性融合的分布式AMP
Activity Detection in Distributed MIMO: Distributed AMP via Likelihood Ratio Fusion
论文作者
论文摘要
我们开发了一种新算法，用于在分布式多输入多输出（MIMO）中用于无授予多重访问的活动检测。该算法是基于在多个访问点独立计算的似然比的软组合的近似消息传递（AMP）的分布式版本。我们算法的基础理论基础是我们对放大器中国家进化的新观察。具体而言，每当信号的协方差矩阵具有这样的结构时，该状态具有最小的均方误差DENOISER，该状态保持块对基结构。我们通过数值示例表明，该算法的表现优于文献中的竞争方案。
We develop a new algorithm for activity detection for grant-free multiple access in distributed multiple-input multiple-output (MIMO). The algorithm is a distributed version of the approximate message passing (AMP) based on a soft combination of likelihood ratios computed independently at multiple access points. The underpinning theoretical basis of our algorithm is a new observation that we made about the state evolution in the AMP. Specifically, with a minimum mean-square error denoiser, the state maintains a block-diagonal structure whenever the covariance matrices of the signals have such a structure. We show by numerical examples that the algorithm outperforms competing schemes from the literature.
