Optimizing Resource Allocation With High-Reliability Constraint for Multicasting Automotive Messages in 5G NR C-V2X Networks
Cellular vehicle-to-everything (C-V2X) has been continuously evolving since Release 14 of the 3rd Generation Partnership Project (3GPP) for future autonomous vehicles. Apart from automotive safety, 5G NR further bring new capabilities to C-V2X for autonomous driving, such as real-time local update, and coordinated driving. These capabilities rely on the provision of low latency and high reliability from 5G NR. Among them, a basic demand is broadcasting or multicasting environment update messages, such as cooperative perception data, with high reliability and low latency from a Road Side Unit (RSU) or a base station (BS). In other words, broadcasting multiple types of automotive messages with high reliability and low latency is one of the key issues in 5G NR C-V2X. In this work, the authors consider how to select Modulation and Coding Scheme (MCS), RSU/BS, Forward Error Correction (FEC) code rate, to maximize the system utility, which is a function of message delivery reliability. The authors formulate the optimization problem as a nonlinear integer programming problem. Since the optimization problem is NP-hard, the authors propose an approximation algorithm, referred to as the Hyperbolic Successive Convex Approximation (HSCA) algorithm, which uses the successive convex approximation to find the optimal solution. In the authors' simulations, the authors compare the performance of HSCA with those of three algorithms respectively, including the baseline algorithm, the heuristic algorithm, and the optimal solution. The authors' simulation results show that HSCA outperforms the baseline and the heuristic algorithms and is very competitive to the optimal solution.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
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Supplemental Notes:
- Copyright © 2023, IEEE.
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Authors:
- Chen, Kuan-Lin
- Chen, Wei-Yu
- Hwang, Ren-Hung
- Publication Date: 2023-4
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 4792-4804
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Serial:
- IEEE Transactions on Vehicular Technology
- Volume: 72
- Issue Number: 4
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 0018-9545
- Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Mobile communication systems; Optimization; Quality of service; Resource allocation
- Identifier Terms: Multimedia Broadcast Multicast Service
- Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01883032
- Record Type: Publication
- Files: TRIS
- Created Date: May 23 2023 10:09AM