An Analytical Model for Interference Alignment in Broadcast Assisted VANETs
1
School of Computer and Information, Hefei University of Technology, Heifei 23009, China
2
Institute of Industry and Equipment Technology, Hefei University of Technology, Hefei 230009, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(22), 4988; https://doi.org/10.3390/s19224988
Received: 12 October 2019
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Revised: 8 November 2019
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Accepted: 12 November 2019
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Published: 15 November 2019
(This article belongs to the Special Issue Mobile and Ad Hoc Networks)
Application of safety-related information interaction among vehicles has always been a research frontier in Vehicular Ad-hoc NETworks (VANETs). These messages require high real-time performance. There is a lot of research dependant on creating optimization model for communication task scheduling or routing protocols to reduce communication delay. In this paper, we analyze characteristics of safety-related information and introduce Interference Alignment (IA) technology in VANETs. To further improve routing efficiency, a data-driven assisted transmission routing and broadcast model framework for Vehicle to Vehicle(V2V) and Vehicle to Infrastructure (V2I) communication are constructed which are the basis for IA. Depending on the proposed model, we propose an optimization problem of minimizing total number of time slots required for safety information sharing in VANETs. Then a clustering algorithm is designed to narrow feasible solution space. Simulation results show that the approach can effectively reduce the number of time slots required and improve link use by 20% percent compared with no IA applied.
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Keywords:
interference alignment; modeling and optimization; VANETs
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MDPI and ACS Style
Zhao, C.; Han, J.; Ding, X.; Shi, L.; Yang, F. An Analytical Model for Interference Alignment in Broadcast Assisted VANETs. Sensors 2019, 19, 4988. https://doi.org/10.3390/s19224988
AMA Style
Zhao C, Han J, Ding X, Shi L, Yang F. An Analytical Model for Interference Alignment in Broadcast Assisted VANETs. Sensors. 2019; 19(22):4988. https://doi.org/10.3390/s19224988
Chicago/Turabian StyleZhao, Chong, Jianghong Han, Xu Ding, Lei Shi, and Fan Yang. 2019. "An Analytical Model for Interference Alignment in Broadcast Assisted VANETs" Sensors 19, no. 22: 4988. https://doi.org/10.3390/s19224988
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