A Post-coder Feedback Approach to Overcome Training Asymmetry in MIMO-TDD

TL;DR

This paper introduces a novel feedback scheme for MIMO-TDD systems that mitigates training asymmetry by quantizing the post-coder at the BS and communicating it to the UE, improving downlink rate performance.

Contribution

It proposes a post-coder feedback method for MIMO-TDD systems that reduces estimation complexity at the UE and enhances downlink capacity with limited feedback.

Findings

Moderate quantization bits suffice for near-capacity rates

Channel compensation via precoding is effective with many BS antennas

Performance bounds confirm the scheme's efficiency

Abstract

Time Divison Duplex (TDD) wireless communication systems are inherently bidirectional, which facilitates exploiting channel reciprocity for pilot based channel estimation of both uplink and downlink. However, there exists a gross asymmetry in channel estimation complexity for the uplink and downlink, particularly for Multiple Input Multiple Output (MIMO) TDD systems. Usually, Base Stations (BS) with more antennas need to estimate fewer parameters from each antenna, whereas the estimation requirement is disproportionately higher at the User Equipment (UE). Unlike the UE, the BS has powerful hardware, computational resources and energy to accurately estimate and track channel profiles. To overcome this asymmetry, we propose a solution for MIMO-TDD downlink communication, wherein the post-coder part of the channel matrix is quantized at the BS, and is communicated to the UE via a low-rate channel. Using asymptotically tight lower bounds on the downlink achievable rates, we quantify the performance of the proposed scheme. Simulations reveal that a moderate number of quantization bits are sufficient to achieve rates close to the the link capacity. We further show that, when the BS has many more antennas at than the UE, the channel can be compensated by appropriate transmit domain precoding without post-coder knowledge at the UE.