Enhanced Orthogonal Frequency-Division Multiplexing with Subcarrier Number Modulation

TL;DR

This paper introduces an enhanced OFDM-SNM scheme that optimizes subcarrier activation based on channel conditions, improving reliability and making it suitable for IoT applications with stationary devices.

Contribution

It proposes a subcarrier assignment method using CSI to optimize OFDM-SNM, enhancing its reliability and performance over existing schemes.

Findings

Closed-form expressions for outage probability and BLER derived.

Enhanced OFDM-SNM shows improved reliability in simulations.

Suitable for IoT with stationary devices under slow fading.

Abstract

A novel modulation scheme termed orthogonal frequency-division multiplexing with subcarrier number modulation (OFDM-SNM) has been proposed and regarded as one of the promising candidate modulation schemes for next generation networks. Although OFDM-SNM is capable of having a higher spectral efficiency (SE) than OFDM with index modulation (OFDM-IM) and plain OFDM under certain conditions, its reliability is relatively inferior to these existing schemes, because the number of active subcarriers varies. In this regard, we propose an enhanced OFDM-SNM scheme in this paper, which utilizes the flexibility of placing subcarriers to harvest a coding gain in the high signal-to-noise ratio (SNR) region. In particular, we stipulate a methodology that optimizes the subcarrier activation pattern (SAP) by subcarrier assignment using instantaneous channel state information (CSI) and therefore the subcarriers with higher channel power gains will be granted the priority to be activated, given the number of subcarriers is fixed. We also analyze the proposed enhanced OFDM-SNM system in terms of outage and error performance. The average outage probability and block error rate (BLER) are derived and approximated in closed-form expressions, which are further verified by numerical results generated by Monte Carlo simulations. The high-reliability nature of the enhanced OFDM-SNM makes it a promising candidate for implementing in the Internet of Things (IoT) with stationary machine-type devices (MTDs), which are subject to slow fading and supported by proper power supply.