On Multiple-Input Multiple-Output OFDM with Index Modulation for Next Generation Wireless Networks

TL;DR

This paper analyzes the implementation and error performance of MIMO-OFDM with index modulation for 5G networks, proposing various detection methods and demonstrating its advantages over classical MIMO-OFDM in terms of error performance and spectral efficiency.

Contribution

It introduces a comprehensive analysis of MIMO-OFDM-IM, including new detection schemes and performance evaluation for next-generation wireless systems.

Findings

MIMO-OFDM-IM offers a better error performance than classical MIMO-OFDM.

Various detectors like ML, MMSE, and OSIC are effective for MIMO-OFDM-IM.

The scheme achieves a good balance between spectral efficiency and error performance.

Abstract

Multiple-input multiple-output orthogonal frequency division multiplexing with index modulation (MIMO-OFDM-IM) is a novel multicarrier transmission technique which has been proposed recently as an alternative to classical MIMO-OFDM. In this scheme, OFDM with index modulation (OFDM-IM) concept is combined with MIMO transmission to take advantage of the benefits of these two techniques. In this paper, we shed light on the implementation and error performance analysis of the MIMO-OFDM-IM scheme for next generation 5G wireless networks. Maximum likelihood (ML), near-ML, simple minimum mean square error (MMSE) and ordered successive interference cancellation (OSIC) based MMSE detectors of MIMO-OFDM-IM are proposed and their theoretical performance is investigated. It has been shown via extensive computer simulations that MIMO-OFDM-IM scheme provides an interesting trade-off between error performance and spectral efficiency as well as it achieves considerably better error performance than classical MIMO-OFDM using different type detectors and under realistic conditions.