LTE V2X is the response of the 3GPP standardization body to the high market expectations related to vehicular communications for safety and infotainment services. To fulfill the stringent requirements in terms of reliability associated with safety applications, geolocation-based access (GLOC) has been proposed for direct vehicle-to-vehicle (V2V) communication. Such a scheme aims at maximizing the distance of co-channel transmitters (i.e., transmitter that use the same resources) while preserving a low latency when accessing the resources and a low overhead. In this paper, we analyze, with the aid of stochastic geometry, the delivery of periodic and nonperiodic broadcast messages with GLOC, taking into account path loss and fading as well as the random locations of transmitting vehicles. Analytical results include the average interference, average binary rate, capture probability, i.e., the probability of successful message transmission, and energy efficiency (EE). Mathematical analysis reveals interesting insights about the system performance, which are validated through extensive Monte Carlo simulations. In particular, it is shown that the capture probability is an increasing function with exponential dependence with respect to the transmit power and it is demonstrated that an arbitrary high capture probability can be achieved, as long as the number of access resources is high enough. Finally, to facilitate the system-level design of GLOC, it is obtained the optimum transmit power, which fulfill a given minimum capture probability constraint while maximizing the EE of the system. Index Terms-Geolocation, hard-core point process, LTE, MAC, reliability, stochastic geometry, Vehicular ad hoc networks (VANETs), vehicle-to-vehicle (V2V). Francisco J. Martín-Vega received the B.Sc. (longcycle), M.Sc. degree, and the Ph.D. degrees from the he was 6 months in an internship with AT4 Wireless. In 2011, he joined as an Associate Researcher the Communication Engineering Department, University of Málaga, where he participates in contracts with several industry partners related to cellular and satellite communications. He was awarded by the Official College of Telecommunication Engineers of Spain with the best master thesis in accessible technologies. His current research activity is focused on the mathematical modeling of 5G cellular networks and vehicular communications. Finally, he participates as teaching assistant giving lectures in the University of Málaga and as co-advisor of students' Master's thesis. Beatriz Soret received the M.Sc. and Ph.D. degrees in telecommunication engineering from University of Málaga, Málaga, Spain, in 2002 and 2010, respectively. She is the author/coauthor of more than 50 peer-reviewed publications, including the Best Paper Award at IEEE GLOBECOM 2013, and the inventor of a significant number of patents on a wide range of topics within communication theory and wireless networks. She is currently with GomSpace, working in access schemes and end-to-end performance of constellations of nanosatellites. Her current research interests are related to radio resource management for 5G and nanosatellite networks. Mari Carmen Aguayo-Torres received the M.S. degree and the Ph.D. degree in telecommunication engineering, with a thesis on adaptive orthogonal frequency-division multiplexing (OFDM), from the University of Málaga, Málaga, Spain, in 1994 and 2001, respectively. She is currently an Associate Professor with the Department of Communications Engineering, University of Málaga. Her main research interests are 5G technologies with probabilistic QoS guarantees. Her work includes theoretical analysis with tools such as stochastic geometry besides statistical evaluation of current real or simulated networks. He is involved in a number of public-and private-funded projects and actively collaborates with industry, mainly in the field of wireless communications. István Z. Kovács received the B.Sc. degree from
In REF , the authors modeled, with the aid of stochastic geometry, the periodic broadcast transmission with geolocation-based access (GLOC) for LTE-V2X networks.
Geolocation-Based Access for Vehicular Communications: Analysis and Optimization via Stochastic Geometry
IEEE Transactions on Vehicular Technology
IEEE Transactions on Vehicular Technology
Computer Science Mathematics