Millimetre‐wave massive MIMO for cellular vehicle‐to‐infrastructure communication. Issue 6 (20th February 2019)

• Record Type: Journal Article
• Authors: Busari, Sherif Adeshina; Khan, Muhammad Awais; Huq, Kazi Mohammed Saidul; Mumtaz, Shahid; Rodriguez, Jonathan
• Is Part Of: IET intelligent transport systems. Volume 13:Issue 6(2019)
• Page Start: 983
• Page End: 990
• Publication Date: 2019-02-20
• Subjects: Long Term Evolution -- wireless channels -- MIMO communication -- cellular radio -- millimetre wave communication -- mean square error methods -- Rician channels; autonomous driving -- innovative paradigm -- revolutionary paradigm -- gigabits‐per‐second communication -- vehicle‐to‐infrastructure scenarios -- intelligent transport systems -- mmWave massive MIMO vehicular channel -- cellular vehicle‐to‐infrastructure communication -- short‐range communication -- LTE‐A systems -- long‐term evolution‐advanced systems -- millimetre‐wave massive multiple‐input multiple‐output technology -- millimetre‐wave massive MIMO technology -- root‐mean‐square delay spread -- Rician K‐factor -- ray distribution -- power delay profile -- channel rank -- next‐generation vehicular networks; Intelligent transportation systems -- Periodicals; Electronics in transportation -- Periodicals; 388.31205
• DOI: 10.1049/iet-its.2018.5492
• Languages: English
• ISSNs: 1751-956X

Abstract

Abstract : Autonomous driving is delightedly an innovative and revolutionary paradigm for future intelligent transport systems. To be fully functional and efficient, vehicles will use hundreds of sensors and generate terabytes of data that will be used and shared for safety, infotainment and allied services. Communication among vehicles or between vehicle and infrastructure thus requires data rate, latency and reliability far beyond what the legacy dedicated short‐range communication (DSRC) and long‐term evolution‐advanced (LTE‐A) systems can support. In this work, the authors motivate the use of millimetre‐wave (mmWave) massive multiple‐input multiple‐output (MIMO) technology to facilitate gigabits‐per‐second (Gbps) communication for cellular vehicle‐to‐infrastructure scenarios. As a fundamental component, the authors characterise the mmWave massive MIMO vehicular channel using metrics such as path loss, root‐mean‐square delay spread, Rician K ‐factor, cluster and ray distribution, power delay profile, channel rank and condition number as well as data rate. They compare the mmWave performance with the DSRC and LTE‐A capabilities, and offer useful insights on vehicular channels. The results show that mmWave massive MIMO can deliver Gbps data rates for next‐generation vehicular networks.