Limited Feedback for Temporally Correlated MIMO Channels with Other Cell Interference

TL;DR

This paper analyzes how uncoordinated interference and feedback delay impact the performance of limited feedback MIMO systems in cellular networks, providing bounds and mitigation strategies.

Contribution

It derives an upper bound on goodput decay due to delay and interference, and evaluates interference cancellation techniques in such scenarios.

Findings

Goodput decreases doubly exponentially with delay.

Larger codebooks reduce goodput decay.

Interference cancellation improves sum rate performance.

Abstract

Limited feedback improves link reliability with a small amount of feedback from the receiver back to the transmitter. In cellular systems, the performance of limited feedback will be degraded in the presence of other cell interference, when the base stations have limited or no coordination. This paper establishes the degradation in sum rate of users in a cellular system, due to uncoordinated other cell interference and delay on the feedback channel. A goodput metric is defined as the rate when the bits are successfully received at the mobile station, and used to derive an upper bound on the performance of limited feedback systems with delay. This paper shows that the goodput gained from having delayed limited feedback decreases doubly exponentially as the delay increases. The analysis is extended to precoded spatial multiplexing systems where it is shown that the same upper bound can be used to evaluate the decay in the achievable sum rate. To reduce the effects of interference, zero forcing interference cancellation is applied at the receiver, where it is shown that the effect of the interference on the achievable sum rate can be suppressed by nulling out the interferer. Numerical results show that the decay rate of the goodput decreases when the codebook quantization size increases and when the doppler shift in the channel decreases.