Joint MMSE Transceiver Design for Downlink Heterogeneous Network

TL;DR

This paper introduces a flexible MMSE-based transceiver design for downlink MIMO heterogeneous networks, outperforming interference alignment schemes in sum rate and BER, with considerations for various channel models and cooperation scenarios.

Contribution

It presents a novel MMSE transceiver design that is more adaptable and often superior to interference alignment methods in heterogeneous network settings.

Findings

The proposed MMSE scheme outperforms IA schemes in sum rate and BER.

It is more flexible and adaptable to different channel models and cooperation scenarios.

The scheme is computationally more complex than IA but offers better performance.

Abstract

In this paper, we propose a minimum mean square error (MMSE) based transceiver design scheme for a downlink multiple-input multiple-output (MIMO) two-tier heterogeneous network with general linear equality per-cell power constraints. Three practical channel models with both perfect and imperfect channel state information are used in simulations. In each channel model, we consider two system configurations, two data transmission schemes and two cellular cooperation scenarios. Our study shows that the proposed MMSE scheme is more flexible than interference alignment (IA) based scheme. For the cases where the IA-type scheme is applicable, the proposed scheme generally outperforms IA-type scheme in terms of average sum rate and bit error rate (BER), but is computationally more complex than the IA-type scheme.