期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：11
页码：271-278
出版社：Science and Information Society (SAI)
摘要：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 ZadoffChu
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.
关键词：Zadoff-Chu Sequence; Discrete Cosine Transform
(DCT); Peak-to-Average Power Ratio (PAPR); Vehicular Networks
