Flag Manifold-Based Precoder Interpolation Techniques for MIMO-OFDM Systems

• Published in: IEEE transactions on communications Vol. 69; no. 7; pp. 4347 - 4359
• Main Authors: Nijhawan, Sarthak, Gupta, Agrim, Appaiah, Kumar, Vaze, Rahul, Karamchandani, Nikhil
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Complexity; Feedback; Flags; Geodesy; Interpolation; Manifolds; Measurement; MIMO communication; Multiple-input multiple-output (MIMO); OFDM; Orthogonal Frequency Division Multiplexing; orthogonal frequency division multiplexing (OFDM); Parameterization; Precoding; Quantization (signal); Subcarriers; Transmitters; Wireless communication; Wireless communication systems
• ISSN: 0090-6778; 1558-0857
• DOI: 10.1109/TCOMM.2021.3069015

The use of channel state information (CSI) at the transmitter significantly enhances the performance of wireless communication systems. However, the requirement of CSI feedback places an undue burden on the reverse link, especially in links that employ multiple-input multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM), where CSI takes the form of a precoding matrix (precoder) for each subcarrier. Typical deployments use quantization and feedback of CSI at certain subcarriers, with interpolation to fill in missing CSI at the transmitter. Past work has used the orthogonal structure of precoders with Flag manifolds for quantization and interpolation of CSI, although interpolation is complicated due to the absence of analytic expressions for geodesics on Flag manifolds. Other approaches have involved the parameterization of the precoder into scalar parameters that are amenable to quantization and interpolation. In this paper, we present efficient methods to quantize and interpolate on Flag manifolds, using both optimal algorithms as well as simplified suboptimal algorithms. Further, we unify these with the parameterization based approaches and show that these translate directly to low-complexity quantization and interpolation on Flag manifolds. Simulations reveal that the proposed precoder quantization and interpolation effectively enhance achievable rates with limited complexity.