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Multimedia Tools and Applications

, Volume 67, Issue 1, pp 213–229 | Cite as

QoS provisioning wireless multimedia transmission over cognitive radio networks

  • Yuming Ge
  • Min Chen
  • Yi Sun
  • Zhongcheng Li
  • Ying Wang
  • Eryk Dutkiewicz
Article

Abstract

The rapid growing of wireless multimedia applications increases the needs of spectrum resources, but today’s spectrum resources have become more and more scarce and large part of the assigned spectrum is in an inefficiency usage. Cognitive Radio (CR) technologies are proposed to solve current spectrum inefficiency problems and offer users a ubiquitous wireless accessing environment, relying on dynamic spectrum allocation. However, there are two unsolved problems in previous work: 1) based on the simplified Quality of Service (QoS) uniform assumption, specific requirements of different wireless multimedia applications cannot be satisfied; 2) aiming at single-objective optimization of spectrum utilization or handoff rate, the co-optimization of these two necessary objectives in CR networks has not been achieved. In this paper, we propose a Two-tier Cooperative Spectrum Allocation method (TCSA) to solve these two problems. TCSA consists of two functional parts: one is a Spectrum Adjacency Ranking algorithm implemented at the secondary users’ terminals to satisfy the QoS requirements for different wireless multimedia applications; and the other is a Max Hyper-weight Matching algorithm implemented at the cognitive engines of CR networks to co-optimize spectrum utilization and secondary users’ spectrum handoff rate. Simulation results show that, compared with the other Random matching algorithm and Cost minimized algorithm, TCSA can significantly improve the performance of CR networks in terms of secondary users’ throughput and spectrum handoff rate.

Keywords

Wireless multimedia transmission Cognitive radio networks Dynamic spectrum allocation Quality of service Spectrum handoff rate 

Notes

Acknowledgement

This work is supported by the National Basic Research Program of China (2012CB315802) and the Natural Science Fundation of China (61100177). The work of M. Chen was supported in part by the Program for New Century Excellent Talents in University (NCET), and through the National Research Foundation of Korea (NRF) grant funded by the Korean government (MEST) (No. 2011-0009454).

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Yuming Ge
    • 1
    • 2
  • Min Chen
    • 3
  • Yi Sun
    • 4
  • Zhongcheng Li
    • 4
  • Ying Wang
    • 5
  • Eryk Dutkiewicz
    • 6
  1. 1.Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
  2. 2.Graduate University of Chinese Academy of SciencesBeijingChina
  3. 3.School of computer science and TechnologyHuazhong University of Science and TechnologyWuhanChina
  4. 4.Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
  5. 5.Wireless Technology Innovation InstituteBeijing Univ. of Posts and TelecommunicationsBeijingChina
  6. 6.Macquarie UniversitySydneyAustralia

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