Joint Activity and Channel Estimation for Extra-Large MIMO Systems

• Published in: IEEE transactions on wireless communications Vol. 21; no. 9; pp. 7253 - 7270
• Main Authors: Iimori, Hiroki, Takahashi, Takumi, Ishibashi, Koji, de Abreu, Giuseppe Thadeu Freitas, Gonzalez G., David, Gonsa, Osvaldo
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Antenna arrays; Approximation algorithms; Arrays; Bayes methods; Bayesian analysis; bayesian inference; Channel estimation; Estimation; extra-large multiple-input multiple-output (XL-MIMO); Grant-free access; Inference algorithms; Mathematical models; Message passing; MIMO communication; Normal distribution; Parameterization; Signal to noise ratio; spatial non-stationarity; Statistical inference; Visibility; Wireless communication

Extra large MIMO (XL-MIMO) systems are subject to spatial non-stationarity forming visibility regions (VRs), which leads to a sub-array-wise sparse structure of the channel matrix. When XL-MIMO systems operate in grant-free access mode, in which only a fraction of the potential users are active duri...