Pulse Index Modulation

TL;DR

This paper introduces pulse index modulation (PIM) and generalized PIM (GPIM), novel low-complexity schemes for IoT and M2M communications that improve spectral efficiency and error performance over existing modulation methods.

Contribution

The paper proposes two new index modulation schemes, PIM and GPIM, using Hermite-Gaussian pulses for enhanced spectral efficiency and error performance in SISO systems.

Findings

PIM and GPIM outperform existing spatial modulation schemes.

The proposed schemes achieve higher SNR gains.

Analytical and simulation results confirm improved error performance.

Abstract

Emerging systems such as Internet-of-things (IoT) and machine-to-machine (M2M) communications have strict requirements on the power consumption of used equipments and associated complexity in the transceiver design. As a result, multiple-input multiple-output (MIMO) solutions might not be directly suitable for these system due to their high complexity, inter-antenna synchronization (IAS) requirement, and high inter-antenna interference (IAI) problems. In order to overcome these problems, we propose two novel index modulation (IM) schemes, namely pulse index modulation (PIM) and generalized PIM (GPIM) for single-input single-output (SISO) schemes. The proposed models use well-localized and orthogonal Hermite-Gaussian pulses for data transmission and provide high spectral efficiency owing to the Hermite-Gaussian pulse indices. Besides, it has been shown via analytical derivations and computer simulations that the proposed PIM and GPIM systems have better error performance and considerable signal-to-noise ratio (SNR) gain compared to existing spatial modulation (SM), quadrature SM (QSM), and traditional M-ary systems.