Efficient Index Modulation-Based MIMO OFDM Data Transmission and Detection for V2V Highly Dispersive Channels

J. Alberto Del Puerto-Flores (), Francisco R. Castillo-Soria, Carlos A. Gutiérrez and Fernando Peña-Campos
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J. Alberto Del Puerto-Flores: Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Jalisco, Mexico
Francisco R. Castillo-Soria: Facultad de Ciencias, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78290, Mexico
Carlos A. Gutiérrez: Facultad de Ciencias, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78290, Mexico
Fernando Peña-Campos: Department of Electrical Engineering Communications Section, CINVESTAV-IPN, Guadalajara 45019, Jalisco, Mexico

Mathematics, 2023, vol. 11, issue 12, 1-17

Abstract: Vehicle-to-vehicle (V2V) communication networks are based on vehicles that wirelessly exchange data, traffic congestion, and safety warnings between them. The design of new V2V systems requires increasingly energetically and spectrally efficient systems. Conventional multiple-input–multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems have been used successfully for the last decade. However, MIMO-OFDM systems need to be improved to face future communication networks in high-mobility environments. This article proposes an efficient index modulation (IM)-based MIMO-OFDM system for V2V channels. The proposed transmission system is evaluated in high Doppler-spread channels. The results demonstrate that the proposed scheme reduces the required computational complexity in data detection and exhibits gains of up to 3 dB in bit error rate (BER) performance when compared to the conventional MIMO-OFDM system under the same conditions and parameters, along with achieving superior spectral efficiency. The results show the viability of implementing the proposed system in practical applications for high-transmission-rate V2V channels.

Keywords: V2V channels; MIMO-OFDM; efficient index modulation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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