Content Aware Resource Allocation for Video Service Provisioning in Wireless Networks

  • Yongxiang Zhao
  • Yunpeng Song
  • Chunxi LiEmail author
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 258)


Video service has been a killer application over wireless networks. Many cross-layer optimization techniques have been proposed to improve the quality of video services in wireless networks. However, most of them did not consider video content type information in resource allocation, which greatly affects the quality of users’ watching experience. In this paper, we take video type information into consideration for resource allocation at base stations. Accordingly, for given transmission power at base station, we build an optimal model to achieve maximal achievable total Mean Opinion Score (MOS) by allocating appropriate powers and video rates for different users watching different types of videos. Numerical results show that our model can achieve much higher MOS compared with existing scheme that does not consider such video type information.


MOS Video content Resource allocation Wireless networks 



This work was supported in part by National Natural Science Foundation of China under Grants 61572071, u1534201, 61531006, and 61471339.


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.Beijing JiaoTong UniversityBeijingChina

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