Abstract
The persisting challenges of the radio channel in vehicular networks entail the use of multi-antennas which is known as Multiple-Input Multiple-Output (MIMO). In order to obtain an efficient multi-user MIMO system, the power of the radio frequency (RF) components should be optimized. Necessarily practical solutions are essential to lower the vehicular nodes' complexity and support a robust Orthogonal Frequency Division Multiplexing (OFDM) discipline with a simplified equalization at the receiver. In this paper, the pre-coding Zadoff-Chu Sequence (ZCS) is employed along with the Discrete Cosine Transform (DCT) to control and optimize the high peak power. It intends the transmission over multi-user MIMO downlink vehicular channels. At last, the convex optimization is utilized to guarantee the peak-to-average power ratio (PAPR) minimization. Simulation results have shown that the proposed model can lessen the high PAPR compared to the least-square pre-coding. At the same time, it proved its effectiveness and accuracy as it enhances the transmission quality over multi-user MIMO-OFDM downlink vehicular channel.
Highlights
In vehicular networks, the Dedicated Short Range Communication (DSRC) protocol supports the vehicle-toroadside and vehicle-to-vehicle communications which enables numerous Intelligent Transportation Systems (ITS) applications [1, 2]
The Discrete Cosine Transform (DCT) transformation is used instead of the Fast Fourier Transform (FFT) along with a ZadoffChu Sequence (ZCS) pre-coding in order to reduce the peak-to-average power ratio (PAPR) and system complexity
Since the IEEE 802.11p standard is mainly designed for low complexity receivers in vehicular networks, a degraded performance can occur due to the high PAPR resulted from using the Orthogonal Frequency Division Multiplexing (OFDM) system
Summary
The Dedicated Short Range Communication (DSRC) protocol supports the vehicle-toroadside and vehicle-to-vehicle communications which enables numerous Intelligent Transportation Systems (ITS) applications [1, 2]. The variety of the available vehicular applications requires the use of efficient technologies such as OFDM-MIMO. The gap between MIMO and vehicular networks should be narrowed by offering an efficient channel modeling and estimation along with timely signal processing. A novel vehicular model is proposed to control and optimize the PAPR resulted from applying the OFDM system on the transmitted signal. This model implements the DCT along with the ZCS pre-coding to enhance the signal quality in a vehicular downlink channel. The use of the ZCS combined with the DCT-OFDM can lower the complexity and cost of the high-power amplifier in a multiuser MIMO vehicular system.
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