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Network Coding for Efficient Video Multicast in Device-to-Device Communications.

Lei Wang1,2, Yulong Li1, Bo Pan2

  • 1Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.

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Summary
This summary is machine-generated.

This study introduces an efficient video multicast scheme using Random Linear Network Coding (RLNC) for Device-to-Device (D2D) networks. It reduces computational load and transmission delay, improving video quality under interference.

Keywords:
Load BalancingMulticastNetwork CodingReliabilityVideo Distribution

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Telecommunications

Background:

  • Device-to-Device (D2D) communication is key for 5G networks, enabling direct device interaction and higher data rates.
  • D2D communication faces interference challenges, leading to packet loss and degraded video quality.
  • Traditional solutions like source node redundant coding increase computational burden.

Purpose of the Study:

  • To propose an efficient video multicast transmission scheme for D2D networks using Random Linear Network Coding (RLNC).
  • To alleviate computational overhead on source nodes and reduce transmission delay.
  • To guarantee video transmission quality in the presence of interference.

Main Methods:

  • Developed a novel RLNC-based video multicast scheme for D2D networks.
  • Receiving devices participate in generating repair packets to address packet loss.
  • Source nodes multicast encoded video files; receiving nodes re-encode and resend data.

Main Results:

  • The proposed scheme balances computation overhead among mobile devices.
  • Achieved an approximate 8% reduction in encoding and decoding delay compared to traditional RLNC.
  • Demonstrated superior video quality over replication-based schemes in high packet loss scenarios.

Conclusions:

  • The RLNC-based scheme effectively mitigates video transmission issues in D2D networks.
  • The distributed repair packet generation balances computational load and improves efficiency.
  • This approach offers a viable solution for high-quality video transmission in challenging D2D environments.