Efficient Optimal Joint Channel Estimation and Data Detection for Massive MIMO Systems

TL;DR

This paper introduces an efficient, optimal joint channel estimation and data detection algorithm for massive MIMO systems, achieving GLRT optimality with polynomial complexity and significant performance improvements over existing methods.

Contribution

It presents the first efficient algorithm for GLRT-optimal non-coherent detection in massive MIMO with general constellations.

Findings

Polynomial complexity growth with channel coherence time

Significant performance gains over suboptimal detection algorithms

First to achieve GLRT-optimal detection efficiently in massive MIMO

Abstract

In this paper, we propose an efficient optimal joint channel estimation and data detection algorithm for massive MIMO wireless systems. Our algorithm is optimal in terms of the generalized likelihood ratio test (GLRT). For massive MIMO systems, we show that the expected complexity of our algorithm grows polynomially in the channel coherence time. Simulation results demonstrate significant performance gains of our algorithm compared with suboptimal non-coherent detection algorithms. To the best of our knowledge, this is the first algorithm which efficiently achieves GLRT-optimal non-coherent detections for massive MIMO systems with general constellations.