QoS-Driven Resource Allocation and Performance Optimization for Aggregated VLC-RF Vehicular Networks

Area of Science:

• Vehicular Networks
• Wireless Communication Systems
• Resource Allocation

Background:

• Visible Light Communication (VLC) offers large unlicensed bandwidth, complementing Radio Frequency (RF) networks for vehicular communication.
• Aggregated VLC-RF vehicular networks provide concurrent access, enhancing Vehicle-to-Everything (V2X) applications and Quality-of-Service (QoS).
• Delayed Channel State Information (CSI) feedback presents challenges in optimizing resource allocation.

Purpose of the Study:

• To address the joint spectrum reuse and power allocation problem in aggregated VLC-RF vehicular networks.
• To maximize the total Vehicle-to-Infrastructure (V2I) achievable rate for high-rate content delivery.
• To guarantee the reliability of Vehicle-to-Vehicle (V2V) links for safety-critical information exchange.

Main Methods:

• The problem is decomposed into four subproblems for iterative solving.
• An efficient Block Coordinate Descent (BCD)-based alternating optimization algorithm is employed.
• The approach considers opportunistic RF spectrum reuse by V2V links from V2I links.

Main Results:

• Simulation results demonstrate the convergence and efficiency of the proposed BCD algorithm.
• The study highlights the impact of critical parameters on system performance.
• The optimized resource allocation effectively balances V2I rate maximization and V2V reliability.

Conclusions:

• The proposed BCD-based algorithm provides an efficient solution for resource allocation in aggregated VLC-RF vehicular networks.
• This research offers valuable insights for enhancing V2X communication performance.
• The findings support the advancement of robust and high-performance vehicular communication systems.