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Method for Channel State Information Prediction and Feedback in Multi-Antenna Communication Systems

Project ID: 1739-AP
Available for licensing

Background

In a multiple-input multiple-output (MIMO) wireless communication system, a significant improvement in capacity and link quality can be achieved if the transmitter has full or partial knowledge of the propagation channel state information (CSI) observed at the receiver side. Unfortunately, communicating the high-precision CSI from the receiver back to the transmitter takes away the available uplink bandwidth. A limited feedback technique, where the partial quantized CSI is communicated as the index of a codeword in a codebook of quantized CSI, is now widely used in standards such as IEEE 802.16e and 3GPP LTE.

Invention Description

This invention describes a method and apparatus for predictive encoding and decoding of CSI with orthogonal constraint. An encoder apparatus is described with methods of geometric differencing, encoding, estimation, and prediction. A decoder apparatus is also described with methods for geometric decoding, estimation, and prediction. When applied to limited feedback MIMO communication systems, superior CSI resolution is obtained compared to a one-shot limited feedback with same codebook size. Near-perfect CSI performance with practical feedback bits can be obtained.

Benefits

Higher capacity and lower bit error rate for closed loop MIMO systems

Features

Increases the CSI resolution at the decoder without increasing the encoded bits (Prior art used codebook of quantized CSI, which limits the available resolution of CSI at the decoder. Limited resolution of CSI also limits communication performance measures such as capacity and bit error rate.)

Market Potential/Applications

The proposed invention is applicable to present and future multi-user MIMO communication equipment such as IEEE 802.11n, IEEE 802.16/e/m, 3GPP LTE, 3GPP LTE-Advanced, 3GPP2 UMB, and future wireless standards which may employ multi-user multiple antenna technologies.

UT Researcher

Robert W. Heath, Jr., Ph.D., Electrical and Computer Engineering, The University of Texas at Austin
Takao Inoue, Electrical and Computer Engineering, The University of Texas at Austin

OTC Contact Information

Jitendra Jain, Licensing Specialist
jjain@otc.utexas.edu
512-471-9055