A Joint Code-Frequency Index Modulation for Low-complexity, High Spectral and Energy Efficiency Communications

TL;DR

This paper proposes a low-complexity joint code-frequency index modulation scheme that enhances spectral and energy efficiency in multiuser IoT communications, outperforming existing systems in BER, PAPR, and complexity.

Contribution

It introduces a novel CFIM scheme that improves spectral and energy efficiencies while reducing PAPR and complexity, validated through analysis and simulations.

Findings

CFIM outperforms existing IM systems in BER performance.

The scheme achieves high spectral efficiency with low complexity.

PAPR and energy consumption are significantly reduced.

Abstract

A relatively simple low complexity multiuser communication system based on simultaneous code and frequency index modulation (CFIM) is proposed in this paper. The proposed architecture reduces the emitted energy at the transmitter as well as the peak-to-average-power ratio (PAPR) of orthogonal frequency-division multiplexing (OFDM)- based schemes functions without relegating data rate. In the scheme we introduce here, we implement a joint code- frequency- index modulation (CFIM) in order to enhance spectral and energy efficiencies. After introducing and analysing the structure with respect to latter metrics, we derive closed-form expressions of the bit error rate (BER) performance over Rayleigh fading channels and we validate the outcome by simulation results. Simulation are used verify the analyses and show that, in terms of BER, the proposed CFIM outperforms the existing index modulation (IM) based systems such as spatial modulation (SM), OFDM-IM and OFDM schemes significantly. To better exhibit the particularities of the proposed scheme, PAPR, complexity, spectral efficiency (SE) and energy efficiency (EE) are thoroughly examined. Results indicate a high SE while ensuring an elevated reliability compared to the aforementioned systems. In addition, the concept is extended to synchronous multiuser communication networks, where full functionality is obtained. With the characteristics demonstrated in this work, the proposed system would constitute an exceptional nominee for Internet of Things (IoT) applications where low-complexity, low-power consumption and high data rate are paramount.