Interleaving Channel Estimation and Limited Feedback for Point-to-Point Systems with a Large Number of Transmit Antennas

TL;DR

This paper proposes an interleaved training and feedback scheme for multi-antenna systems that achieves the same outage probability as perfect CSI with minimal feedback, by training antennas sequentially and providing immediate feedback.

Contribution

It introduces a novel interleaved training and feedback method that reduces feedback rate and training overhead in large MISO systems, maintaining optimal outage performance.

Findings

Achieves outage probability equivalent to perfect CSI with limited feedback.

Feedback rate and training are independent of the number of antennas.

Variable-rate quantizers further reduce feedback requirements.

Abstract

We introduce and investigate the opportunities of multi-antenna communication schemes whose training and feedback stages are interleaved and mutually interacting. Specifically, unlike the traditional schemes where the transmitter first trains all of its antennas at once and then receives a single feedback message, we consider a scenario where the transmitter instead trains its antennas one by one and receives feedback information immediately after training each one of its antennas. The feedback message may ask the transmitter to train another antenna; or, it may terminate the feedback/training phase and provide the quantized codeword (e.g., a beamforming vector) to be utilized for data transmission. As a specific application, we consider a multiple-input single-output system with $t$ transmit antennas, a short-term power constraint $P$, and target data rate $\rho$. We show that for any $t$, the same outage probability as a system with perfect transmitter and receiver channel state information can be achieved with a feedback rate of $R_1$ bits per channel state and via training $R_2$ transmit antennas on average, where $R_1$ and $R_2$ are independent of $t$, and depend only on $\rho$ and $P$. In addition, we design variable-rate quantizers for channel coefficients to further minimize the feedback rate of our scheme.