Quality-of-Experience Optimization for a Cloud Gaming System with Ad Hoc Cloudlet Assistance

Wei Cai, Zhen Hong, Xiaofei Wang, Chun Bun Henry Chan, Victor C.M. Leung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

19 Citations (Scopus)


Cloud gaming systems host the game in the cloud, while Gameplays and views are streamed to the players' terminals in the form of encoded video frames. To address the high-bandwidth issue of real-time gaming video transmission, we have proposed a cloudlet-assisted multiplayer cloud gaming system to encourage cooperative video sharing, which exploits the similarities of video frames among multiple players in the same crowd playing the same game via a secondary ad hoc network. In this paper, we provide a detailed modeling of the proposed system, including the correlation between video frames, mobility of terminal devices, and diversity of network quality of service for distinct players. With necessary mathematical formulations, we study the players' behaviors regarding the cooperative sharing patterns to optimize the system performance in terms of the quality of users' experience. Also, heuristic algorithms are proposed to reduce the computational complexity. Empirical study and trace-driven simulation results illustrate the impact of mobility on the system performance and show that the proposed solution is able to provide better quality of experience compared with the existing platform.
Original languageEnglish
Article number7137673
Pages (from-to)2092-2104
Number of pages13
JournalIEEE Transactions on Circuits and Systems for Video Technology
Issue number12
Publication statusPublished - 1 Dec 2015


  • Cloud gaming
  • cooperative
  • encoding
  • optimization
  • quality of experience (QoE)

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering


Dive into the research topics of 'Quality-of-Experience Optimization for a Cloud Gaming System with Ad Hoc Cloudlet Assistance'. Together they form a unique fingerprint.

Cite this