Uppsala universitet

Key Solutions for a Massive MIMO FDD System

Wolfgang Zirwas Nokia Bell Labs,
Mikael Sternad , Uppsala University and
Rikke Apelfröjd , Uppsala University.

2017 IEEE 28th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) , Montreal, October 2017.

Paper In Pdf

Presentation slides (with additional simulation results)

The ongoing standardization within 3GPP for the so called new radio (NR) system has identified massive multiple-input multiple output (MIMO) transmission, also called full dimension MIMO, as one of the main contributors to higher spectral efficiency for the mobile broadband case. In particular for radio frequencies below 6 GHz, channel estimation has to be supported in frequency division duplex (FDD) as well as time division duplex (TDD) operation.

In TDD we may obtain downlink channels by estimating uplink channels, assuming reciprocity. For FDD, codebook based design as well as some type of explicit feedback is under discussion. Separately, there are also ongoing discussions of the question if massive MIMO in combination with FDD is a reasonable choice at all.

Here we highlight some of our recent results obtained within several 5G research projects. To our understanding they overcome some of the inherent limitations of massive MIMO for FDD.

As indicated by simulations, the resulting concept enables a grid of beam (GoB) and reference signal design with a reasonable downlink reference signal overhead of around 10 percent, together with reasonable feedback overhead of several hundred kbit/s per UE. Such a design attains around 90 percent of the massive MIMO system performance with ideal channel state information.

Related publications:
Paper at IEEE Trans. on Communications 2019 on Joint reference signal design and Kalman/Wiener channel estimation for FDD Massive MIMO.

Coded non-orthogonal downlink CSI reference signals, Original paper proposing this concept at WSA 2016.

IEEE Communications Magazine 2014 on the role of small cells, coordinated multi-point and massive MIMO in 5G.

PhD Thesis of Rikke Apelfröjd, April 2018.

| Main entry in list of publications | 4G and 5G wireless research |
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