1 January 2019

Energy Efficient Transmission of 3D Meshes Over MMWave-Based Massive MIMO Systems

Lalos, A., Arvanitis, G., Vlachos, E., Moustakas, K.
2019 IEEE International Conference on Multimedia and Expo (ICME)
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Abstract

Many mixed reality applications are b ased on the real-time compression and streaming of three-dimensional (3D) mod­ els. Thus, they demand very high- bandwidth and ultra-low latency from network specifications. The next-generation wireless networks will employ promising technologies to sig­ nificantly improve the communication data rates. However, due to implementation complexity and thus increased en­ ergy consumption of these technologies, a trade-off between the quality-of-use r-experience (QoE) and the hardware spec­ ifications is necessary. To overcome these limitations low- resolution quantizers have been of inte rest, which provide a trade-off between quality and complexity. In this p aper, we propose a complexity-aware perceptual coding scheme that minimizes the reconstruction losses of the 3D models. Ex­ tensive simulations assuming different 3D models show that the proposed scheme achieves plausible reconstruction output offering significantly higher energy efficiency gains, as com­ pared to a context unaware coding approaches.

Type 1
Publication 2019 IEEE International Conference on Multimedia and Expo (ICME)
DOI 10.1109/icme.2019.00295
Date January 2019
Research 6G UAVs

Key Contributions

  • Proposes a complexity-aware perceptual coding scheme for 3D meshes that minimizes reconstruction losses while considering hardware limitations.
  • Introduces an optimal bit allocation strategy that assigns different quantization resolutions to different levels of detail in the 3D mesh.
  • Demonstrates significant energy efficiency gains and improved reconstruction quality compared to uniform transmission approaches.

Reconstruction quality comparison between uniform transmission and the proposed bit allocation approach for different 3D meshes and bit-per-vertex values.
Reconstruction quality comparison between uniform transmission and the proposed bit allocation approach for different 3D meshes and bit-per-vertex values.
This figure shows that the proposed scheme provides superior reconstruction quality, particularly at lower bit rates, by adaptively allocating bits based on perceptual importance.

Comparison of uniform bit allocation versus optimized bit allocation for 3D mesh transmission.
Comparison of uniform bit allocation versus optimized bit allocation for 3D mesh transmission.
The optimized bit allocation strategy significantly outperforms the uniform approach in terms of reconstruction quality, demonstrating the effectiveness of assigning different bit rates to different mesh details.

Performance (metric 6) versus total power consumption for different transmission approaches.
Performance (metric 6) versus total power consumption for different transmission approaches.
The results indicate that the proposed scheme achieves substantially better reconstruction quality at lower power levels, highlighting its energy efficiency benefits.

Research 6G UAVs