Downlink CSI Recovery in Massive MIMO Systems by Proactive Sensing
Lei Li, Minghe Zhu, Shuqiang Xia, Tsung‐Hui Chang
Abstract
Accurate channel state information (CSI) is critical to harvest the potential gain brought by massive multiple-input multiple-output (MIMO). However, the acquisition of downlink CSI is challenging in the frequency division duplex (FDD) systems due to limited feedback and the use of low-resolution codebooks. In this letter, we propose a novel sensing-assisted CSI recovery (SACR) scheme, where the BS proactively senses the downlink channel structure so that accurate CSI recovery at the BS can be achieved with only a few number of low-resolution user feedbacks. Numerical results show that the proposed scheme significantly outperforms the existing methods.
Topics & Concepts
Telecommunications linkChannel state informationComputer scienceMIMODuplex (building)Channel (broadcasting)Scheme (mathematics)Real-time computingComputer networkElectronic engineeringTelecommunicationsWirelessEngineeringMathematicsBiologyGeneticsMathematical analysisDNAIndoor and Outdoor Localization TechnologiesRadar Systems and Signal ProcessingFull-Duplex Wireless Communications