基于移动边缘计算的虚拟现实压缩与传输系统

doi:10.11959/j.issn.1000-436x.2020076

Journal on Communications ›› 2020, Vol. 41 ›› Issue (4): 45-53.doi: 10.11959/j.issn.1000-436x.2020076

Special Issue: 边缘计算

• Topics: Key Technologies of Edge Computing • Previous Articles Next Articles

Virtual reality compressing and transmitting system based on mobile edge computing

Bin TAN¹,Songyuan ZHAO²,Jun WU³,Wenru ZHANG⁴

¹ College of Electronics and Information Engineering,Jinggangshan University,Ji’an 343009,China
² College of Electronics and Information Engineering,Tongji University,Shanghai 201804,China
³ School of Computer and Technology,Fudan University,Shanghai 200433,China
⁴ School of Computer and Technology,Fudan University,Shanghai 200433,China 4.Guangdong Communications ＆Networks Institute,Guangzhou 510070,China

Revised:2020-03-16 Online:2020-04-25 Published:2020-04-30
Supported by:
The National Natural Science Foundation of China(61762053);The National Natural Science Foundation of China(61601128);The National Natural Science Foundation of China(61831018);The National Natural Science Foundation of China(61631017)

Abstract

Abstract:

In order to solve the problem of the high requirements of data transmission rate and sensitivity to transmission delay in virtual reality (VR) based on cloud services,a Cloud VR system with MEC (mobile edge computing) was proposed,mainly including viewpoint-based VR processing and HDA (hybrid digital-analog) transmission optimization.Firstly,a dynamic streaming method based on user viewpoint and pyramid projection was used to implement a complete edge cloud VR system.Then,HDA transmission was introduced to optimize the transmission,and a heuristic algorithm for resource allocation was given.Finally,the base station protocol stack was transformed,and the MEC was integrated into the LTE (long term evolution) system to implement a complete mobile edge cloud VR system.Experimental results demonstrate that the proposed scheme has good robustness and efficient transmission by comparing with the existing schemes.

Key words: virtual reality, mobile edge computing, hybrid digital-analog

CLC Number:

TN929.5

Bin TAN,Songyuan ZHAO,Jun WU,Wenru ZHANG. Virtual reality compressing and transmitting system based on mobile edge computing[J]. Journal on Communications, 2020, 41(4): 45-53.

Figures/Tables 5

References 15

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