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Ultra-Reliable and Low-Latency Vehicular Communication using Optical Camera Communications

Islam, Amirul and Musavian, Leila and Thomos, Nikolaos (2019) Ultra-Reliable and Low-Latency Vehicular Communication using Optical Camera Communications. Working Paper. Arxiv. (Unpublished)

1911.09034v1.pdf - Submitted Version

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Optical camera communication (OCC) has emerged as a key enabling technology for the seamless operation of future autonomous vehicles. By leveraging the supreme performance, OCC has become a promising solution to meet the stringent requirements of vehicular communication to support ultra-reliable and low-latency communication (uRLLC). In this paper, we introduce a novel approach of capacity maximization in vehicular OCC through the optimization of capacity, power allocation, and adaptive modulation schemes while guaranteeing reliability and latency requirements. First, we formulate a vehicular OCC model to analyze the performance in terms of bit-error-rate (BER), achievable spectral efficiency, and observed latency. We thus characterize reliability over satisfying a target BER, while latency is determined by considering transmission latency. Then, a capacity maximization problem is formulated subject to transmit power and uRLLC constraints. Finally, utilizing the Lagrange formulation and water-filling algorithm, an optimization scheme is proposed to find the adaptive solution. To demonstrate the robustness of the proposed optimization scheme, we translate the continuous problem into a discrete problem. We justify our proposed model and optimization formulation through numerous simulations by comparing capacity, latency, and transmit power. Simulation results show virtually no loss of performance through discretization of the problem while ensuring uRLLC requirements.

Item Type: Monograph (Working Paper)
Additional Information: This paper is updated and has been fully modified starting from the system model and solution schemes
Uncontrolled Keywords: cs.NI; eess.SP
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 02 Dec 2019 11:38
Last Modified: 26 May 2022 08:44

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