Structured Dispersion Matrices from Space-Time Block Codes for Space-Time Shift Keying

TL;DR

This paper introduces structured dispersion matrices derived from specific space-time block codes for space-time shift keying, improving performance and robustness in MIMO systems with low-complexity detection.

Contribution

It establishes a connection between space-time block codes and space-time shift keying, proposing new decomposable dispersion codes with enhanced properties.

Findings

Structured DMs from new codes outperform capacity-optimized DMs.

Proposed codes offer full-diversity and high coding gain.

Performance gains are notable under imperfect channel information.

Abstract

Coherent Space-Time Shift Keying (CSTSK) is a recently developed generalized shift-keying framework for Multiple-Input Multiple-Output systems, which uses a set of Space-Time matrices termed as Dispersion Matrices (DM). CSTSK may be combined with a classic signaling set (eg. QAM, PSK) in order to strike a flexible tradeoff between the achievable diversity and multiplexing gain. One of the key benefits of the CSTSK scheme is its Inter-Channel Interference (ICI) free system that makes single-stream Maximum Likelihood detection possible at low-complexity. In the existing CSTSK scheme, DMs are chosen by maximizing the mutual information over a large set of complex valued, Gaussian random matrices through numerical simulations. We refer to them as Capacity-Optimized (CO) DMs. In this contribution we establish a connection between the STSK scheme as well as the Space-Time Block Codes (STBC) and show that a class of STBCs termed as Decomposable Dispersion Codes (DDC) enjoy all the benefits that are specific to the STSK scheme. Two STBCs belonging to this class are proposed, a rate-one code from Field Extensions and a full-rate code from Cyclic Division Algebras, that offer structured DMs with desirable properties such as full-diversity, and a high coding gain. We show that the DMs derived from these codes are capable of achieving a performance than CO-DMs, and emphasize the importance of DMs having a higher coding gain than CO-DMs in scenarios having realistic, imperfect channel state information at the receiver.