Information-Theoretic Pilot Design for Downlink Channel Estimation in FDD Massive MIMO Systems

• Published in: IEEE transactions on signal processing Vol. 67; no. 9; pp. 2334 - 2346
• Main Authors: Yujie Gu, Zhang, Yimin D.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antennas; Base stations; Channel estimation; Computer simulation; Covariance matrices; Covariance matrix; Downlink; frequency division duplex (FDD); Frequency division duplexing; Gaussian distribution; Gaussian mixture distribution; Grassmannian manifold; Information theory; information-theoretic metric; Manifolds (mathematics); massive multiple-input multiple-output (MIMO); MIMO (control systems); MIMO communication; pilot design; Symbols; Training; Wireless communications

Massive multiple-input multiple-output (MIMO) is one of the most promising techniques for next generation wireless communications due to its superior capability to provide high spectrum and energy efficiency. Considering the very large number of antennas employed at the base station, however, the pi...