Vehicle-to-everything communications (V2X), whose main objective is to improve security and efficiency, are provided by ad hoc vehicle networks that allow communication between vehicles. In the current study, a hexagonal microstrip patch antenna has been developed to cover the navigational frequencies, WiMAX at 3.7 GHz and DSRC/IEEE802.11p at 5.9 GHz to meet the demands of various vehicular applications. The antenna design is based on Cantor fractal slot, partial ground plane, and inset feed which is directly fed through the microstrip line. The proposed antenna shields the frequency band from 3.22 to 6.5 GHz with VSWR 2 within all the frequency bands. The presented antenna can resonate well in the 5.85–5.95 GHz band assigned for DSRC/IEEE802.11p and 3.7 GHz assigned for LTE/V2X. Simulated antenna gain varies from 3.06 to 5.25 dB within the operated frequency range providing an omnidirectional simulated radiation pattern in the most azimuth plane. To prove the validity of the simulation results, the chosen antenna structure has been fabricated and tested using a vector network analyzer MS2630. The measurement shows good results, which make the antenna suitable for wireless applications of interest.

Broadband microstrip antennas with Cantor set fractal slots for vehicular communications

Based on the application of smart antennas in cellular mobile communications, this paper introduces the impact of the width of the antenna beams playing on the dwell time probability density function in cellular geometry with smart antenna. The research results indicate that the smart cell structure can improve the dwell time of users within the cell and improve the traffic system performance.

/pdf/model-of-handover-and-traffic-based-on-cellular-geometry-2nde83p998.pdf

Model of Handover and Traffic Based on Cellular Geometry with Smart Antenna

The use of smart antenna systems in WiMAX vehicular communications increases the coverage and throughput thus reducing the infrastructure costs, creates the lower levels support for new high level innovative services and may increase applications security. However, new challenges appear related to interference range, neighbor discovery, mobility management, scheduling issues, in addition to some already existing ones as base station (BS) coverage and bandwidth availability, velocity versus application throughput, and service availability/continuity. The paper continues a complex study related to WiMAX vehicular communications evaluation and optimization, focusing on simulations of a real smart antenna in WiMAX vehicular environments.

Optimization method for smart antenna use in WiMAX vehicular communications

1 Beijing Key Lab of New Generation Broadband Wireless Mobile Communication Technology, Standard and Verification, China Academy of Telecommunication Research of MIIT (CATR), Beijing 100191, China 2 Faculty Development Center, Beijing University of Posts and Telecommunications (BUPT), Beijing 100876, China 3 School of Telecommunications and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an 710121, China 4The Communications Group, Department of Electronic and Electrical Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK 5McGill University, 3480 Rue University, Montreal, Canada H3A 0E9

/pdf/advanced-mimo-techniques-in-the-heterogeneous-networks-4fb4v5lrwl.pdf

Advanced MIMO Techniques in the Heterogeneous Networks

WiMAX communications for vehicular use is a topic of significant interest in the research and industry communities, for both V2V (vehicle-to-vehicle) and V2I (vehicle-to-infrastructure) scenarios. This paper presents results of an experimental, simulation-based study, for mobile WiMAX V2I communications for different mobile station (MS) speeds. The scenario results are applicable to both omni-directional and beam forming smart antenna use. This study describes a database consolidation process in order to determine multi-dimensional regions where different lower layer parameters have influence on the overall performance of WiMAX V2I communications. Based on the multi-dimensional graphs, optimal parameter sets and network topology information can be provided by the network operator to vehicular MS, (e.g. a car or a train), providing essential support for the mobile station’s smart antenna tracking systems and allow adaptation of the major WiMAX parameters to its speed and network topology.

An Analysis of Smart Antenna Usage for WiMAX Vehicular Communications

/pdf/an-analysis-of-smart-antenna-usage-for-wimax-vehicular-12qiy39t1e.pdf

David Hayes

Papers

An Analysis of Smart Antenna Usage for WiMAX Vehicular Communications

An Analysis of Smart Antenna Usage for WiMAX Vehicular Communications