A Partial Channel Reciprocity-based Codebook for Wideband FDD Massive MIMO

by   Haifan Yin, et al.

The acquisition of channel state information (CSI) in Frequency Division Duplex (FDD) massive MIMO has been a formidable challenge. In this paper, we address this problem with a novel CSI feedback framework enabled by the partial reciprocity of uplink and downlink channels in the wideband regime. We first derive the closed-form expression of the rank of the wideband massive MIMO channel covariance matrix for a given angle-delay distribution. A low-rankness property is identified, which generalizes the well-known result of the narrow-band uniform linear array setting. Then we propose a partial channel reciprocity (PCR) codebook, inspired by the low-rankness behavior and the fact that the uplink and downlink channels have similar angle-delay distributions. Compared to the latest codebook in 5G, the proposed PCR codebook scheme achieves higher performance, lower complexity at the user side, and requires a smaller amount of feedback. We derive the feedback overhead necessary to achieve asymptotically error-free CSI feedback. Two low-complexity alternatives are also proposed to further reduce the complexity at the base station side. Simulations with the practical 3GPP channel model show the significant gains over the latest 5G codebook, which prove that our proposed methods are practical solutions for 5G and beyond.


page 1

page 15


FDD Massive MIMO Uplink and Downlink Channel Reciprocity Properties: Full or Partial Reciprocity?

One challenge for FDD massive MIMO communication system is how to obtain...

Downlink Pilot Precoding and Compressed Channel Feedback for FDD-Based Cell-Free Systems

Cell-free system where a group of base stations (BSs) cooperatively serv...

Deep Learning for TDD and FDD Massive MIMO: Mapping Channels in Space and Frequency

Can we map the channels at one set of antennas and one frequency band to...

Efficient Angle-Domain Processing for FDD-based Cell-free Massive MIMO Systems

Cell-free massive MIMO communications is an emerging network technology ...

Subcarrier-Interlaced FDD for Faster-than-TDD Channel Tracking in Massive MIMO Systems

Canonical Massive MIMO uses time division duplex (TDD) to exploit channe...

Deep Learning Empowered Type-II Codebook: New Paradigm for Enhancing CSI Feedback

Deep learning based channel state information (CSI) feedback in frequenc...

Deep learning for location based beamforming with NLOS channels

Massive MIMO systems are highly efficient but critically rely on accurat...

Please sign up or login with your details

Forgot password? Click here to reset