Protection of HEVC video delivery in vehicular networks with RaptorQ codes.

Area of Science:

• Networking and Communications
• Multimedia Systems
• Error Correction Coding

Background:

• Future vehicles will possess advanced processing, storage, and communication capabilities, enabling vehicular networks.
• Vehicular networks are susceptible to packet loss, impacting the quality of service for applications like video streaming.
• High Efficiency Video Coding (HEVC) is a key standard for video streaming, but its performance degrades with packet loss.

Purpose of the Study:

• To investigate the effectiveness of RaptorQ Forward Error Correction (FEC) in mitigating packet loss for HEVC video streaming in vehicular networks.
• To evaluate different RaptorQ configurations for optimizing HEVC streaming quality in packet-loss-prone vehicular environments.

Main Methods:

• Simulations were conducted to model HEVC video streaming over vehicular networks with varying packet loss rates.
• RaptorQ FEC was integrated to provide error resilience for the HEVC streams.
• Performance was evaluated based on metrics related to the quality of experience for the end-user.

Main Results:

• Specific RaptorQ configurations were identified as more suitable for vehicular network scenarios.
• The simulations demonstrated that RaptorQ can significantly improve the robustness of HEVC streaming against packet losses.
• The study provides insights into optimal parameter settings for RaptorQ in this context.

Conclusions:

• RaptorQ Forward Error Correction is a viable solution for enhancing the quality of experience for HEVC video streaming in vehicular networks.
• Proper configuration of RaptorQ is crucial for maximizing its benefits in packet-loss-prone vehicular environments.
• Further research can explore adaptive FEC strategies tailored for dynamic vehicular network conditions.