Near-maximum-likelihood detection of MIMO systems using MMSE-based lattice reduction

By Dirk Wübben, Ronald Böhnke, Volker Kühn, Karl-Dirk Kammeyer. IEEE International Conference on Communications, 2004

445 citations recorded by the source corpus.

In recent publications the use of lattice-reduction for signal detection in multiple antenna systems has been proposed. In this paper, we adopt these lattice-reduction-aided schemes to the MMSE criterion. We show that an obvious way to do this is infeasible and propose an alternative method based on an extended system model, which in conjunction with simple successive interference cancellation nearly reaches the performance of maximum-likelihood detection. Furthermore, we demonstrate that, a sorted QR decomposition can significantly reduce the computational effort associated with lattice-reduction. Thus, the new algorithm clearly outperforms existing methods with comparable complexity.

Subfields: Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/53748971739d769ea2105f4a501e5ec79ab0c651

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Lajos Hanzo
2. Shaoshi Yang
3. Mahmoud A. M. Albreem
4. Shahriar Shahabuddin
5. Markku J. Juntti

In Computer Networks and Communications

1. Lajos Hanzo
2. Shaoshi Yang
3. Mahmoud A. M. Albreem
4. Shahriar Shahabuddin
5. Markku J. Juntti

In Electrical and Electronic Engineering

1. Shahriar Shahabuddin
2. Markku J. Juntti
3. Mahmoud A. M. Albreem
4. Shaoshi Yang
5. Lajos Hanzo

Citations in the corpus

• Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs (2015, methodology): “hard-decision treesearch based MIMO decoders in the context of a 4 4 64-QAM system using 65-nm CMOS technology at 333 MHz clock frequency. well as with linear MMSE and nonlinear MMSE-SIC detectors in [85], [466], both achieving a substantial performance gain with little additional computational comp”
• Massive MIMO Detection Techniques: A Survey (2019, methodology): “Linear or SIC detectors can be preprocessed using lattice reduction algorithms to achieve a significant performance gain and the computational complexity will be increased [215][217][221].”