2017/06/01 by Andrea Tassi, Tassi, Andrea, Malcolm Egan +5
Engineering · #FOS: Computer and information sciences #Information Theory (cs.IT) #Millimeter-Wave Propagation and Modeling #Performance (cs.PF) #Vehicular Ad Hoc Networks (VANETs) #Wireless Body Area Networks
paper · pdf · doi:10.48550/arxiv.1706.00298
openalex publication_date 2017/06/01 · openalex created_date 2022/10/06 · openalex updated_date 2026/07/28
Connected and autonomous vehicles will play a pivotal role in future\nIntelligent Transportation Systems (ITSs) and smart cities, in general.\nHigh-speed and low-latency wireless communication links will allow\nmunicipalities to warn vehicles against safety hazards, as well as support\ncloud-driving solutions to drastically reduce traffic jams and air pollution.\nTo achieve these goals, vehicles need to be equipped with a wide range of\nsensors generating and exchanging high rate data streams. Recently, millimeter\nwave (mmWave) techniques have been introduced as a means of fulfilling such\nhigh data rate requirements. In this paper, we model a highway communication\nnetwork and characterize its fundamental link budget metrics. In particular, we\nspecifically consider a network where vehicles are served by mmWave Base\nStations (BSs) deployed alongside the road. To evaluate our highway network, we\ndevelop a new theoretical model that accounts for a typical scenario where\nheavy vehicles (such as buses and lorries) in slow lanes obstruct Line-of-Sight\n(LOS) paths of vehicles in fast lanes and, hence, act as blockages. Using tools\nfrom stochastic geometry, we derive approximations for the\nSignal-to-Interference-plus-Noise Ratio (SINR) outage probability, as well as\nthe probability that a user achieves a target communication rate (rate coverage\nprobability). Our analysis provides new design insights for mmWave highway\ncommunication networks. In considered highway scenarios, we show that reducing\nthe horizontal beamwidth from 90^\∘ to 30^\∘ determines a minimal\nreduction in the SINR outage probability (namely, 4 \⋅ 10-2 at\nmaximum). Also, unlike bi-dimensional mmWave cellular networks, for small BS\ndensities (namely, one BS every 500 m) it is still possible to achieve an\nSINR outage probability smaller than 0.2.\n