Vol.60, No.2, 2019, pp.835-853, doi:10.32604/cmc.2019.07080
OPEN ACCESS
ARTICLE
A Capacity Improving Scheme in Multi-RSUs Deployed V2I
  • Yueyun Chen1,*, Zhuo Zeng1, Taohua Chen1, Zushen Liu2, Alan Yang3
University of Science & Technology Beijing, Beijing, 100083, China.
The 41st Institute of China Electronics Technology Group Corporation, Bengbu, 233006, China.
Amphenol AssembleTech, Houston, 77070, United States.
* Corresponding Author: Yueyun Chen. Email: .
Abstract
The communication reliability and system capacity are two of the key performance indicators for Internet of Vehicles (IoV). Existing studies have proposed a variety of technologies to improve reliability and other performance, such as channel selection and power allocation in Vehicle-to-Infrastructure (V2I). However, these researches are mostly applied in a single roadside unit (RSU) scenario without considering inter-cell interference (ICI) of multi-RSUs. In this paper, considering the distribution characteristics of multi-RSUs deployment and corresponding ICI, we propose a reliable uplink transmission scheme to maximize the total capacity and decrease the interference of multi-RSUs (mRSU-DI) in condition of the uplink interruption performance. In the proposed mRSU-DI scheme, ICI is depressed by dynamic channel and power allocation algorithm. A heuristic algorithm based on penalty function is proposed to obtain the optimal power allocation solution of the model. In addition, we realize the scheme in both given conditions of channel state information (CSI) and channel state distribution, respectively. The results show that the proposed scheme can both improve the system capacity and guarantee the reliable transmission in both premises.
Keywords
IoV, inter-cell interference, power allocation, reliable transmission
Cite This Article
Y. . Chen, Z. . Zeng, T. . Chen, Z. . Liu and A. . Yang, "A capacity improving scheme in multi-rsus deployed v2i," Computers, Materials & Continua, vol. 60, no.2, pp. 835–853, 2019.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.