Orthogonal Space-Time Block Coding for V2V LOS Links with Ground Reflections

Miguel Gutierrez Gaitan, Ramiro Samano-Robles

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work presents a capacity analysis of space-time block codes (STBC) for vehicle-to-vehicle (V2V) communication in modified line-of-sight (LOS) scenarios. The aim is to assess how performance of the V2V LOS channel is influenced by ground reflections. STBCs of various coding rates are evaluated using antenna elements distributed over the surface of two contiguous vehicles. A multi-ray tracing tool is used to model the multiple constructive/destructive interference patterns of the transmitted/received signals by all pairs of Tx-Rx antenna links. The results show that STBCs are capable of counteracting the fades produced by the destructive self-interference components across a range of inter-vehicle distances. Notably, the effectiveness of STBCs in deep fades is shown to outperform schemes with exclusive receive diversity. Higher-order STBCs with rate losses are also evaluated, showing interesting gains even for low coding rate performance, particularly, when accompanied by a multiple antenna receiver. Overall, these results can shed light on how to exploit transmit diversity in slow fading vehicular channels.

Original languageEnglish
Title of host publication2022 24th International Microwave and Radar Conference, MIKON 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788395602030
Publication statusPublished - 2022
Event24th International Microwave and Radar Conference, MIKON 2022 - Gdansk, Poland
Duration: 12 Sept 202214 Sept 2022

Publication series

Name2022 24th International Microwave and Radar Conference, MIKON 2022

Conference

Conference24th International Microwave and Radar Conference, MIKON 2022
Country/TerritoryPoland
CityGdansk
Period12/09/2214/09/22

Keywords

  • LOS
  • MIMO
  • STBC
  • Two-ray model
  • V2V

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation
  • Radiation

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