Antenna Selection And MIMO Capacity Estimation For Vehicular Communication Systems

<p>Vehicular communication is one of the promising prospects of wireless communication capable of addressing the issues related to road safety, providing the framework for "smart" or "intelligent" cars. To provide a reliable wireless link for vehicular communication extensive channel modeling and measurements are required. In this thesis a novel cost-effective implementation of vehicular channel capacity measuring system using off-the-shelf devices is proposed. Then using the proposed system, various channel measurements are performed. The measurement results are utilized to examine multi-antenna systems for vehicular communication. </p> <p>The challenge in developing an efficient network between cars is to understand the nature of random channels that changes with the location of antenna, surroundings and obstacles between the transmitting and receiving vehicles. In addition to measurements, in this thesis, the channel behavior has been studied through simulation. Wireless InSite from Remcom was used as a simulation tool to study different vehicular channels in environments with different structures to see the impact of obstacles and surroundings in the performance of the vehicular network. In particular, the behavior of different antenna locations on channel capacity of 2×2 Multiple Input Multiple Output (MIMO) systems is investigated. Channel capacities that are obtained from simulation and measurements provide the information about the changing nature of the channel and outline the essential considerations while choosing the antenna positions on the transmitting or receiving vehicles.</p>

Name thesis:degree_name

Master of Science (MS)

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical Engineering

Year

2014

Author dc:creator

• Adhikari, Nischal

Contributors dc:contributor

• Sima Noghanian

• Antenna Selection, Channel Capacity, DSRC, MIMO, RF, V2V

Repository record dc:identifier

https://commons.und.edu/theses/1497

OAI identifier oai:identifier

oai:commons.und.edu:theses-2498