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


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.


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



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).


  1. 1.
    Akyildiz IF, Lee WY, Vuran MC, Mohanty S (2006) NeXt generation / dynamic spectrum access / cognitive radio wireless networks: A Survey. Comput Networks J (Elsevier) 50:2127–2159MATHCrossRefGoogle Scholar
  2. 2.
    An C, Ji H, Si P (2010) Dynamic Spectrum Access with QoS Provisioning in Cognitive Radio Networks. in: Proc. IEEE Globecom 2010. 1–5Google Scholar
  3. 3.
    Bicen A O, Gungor V C, Akan O B (2011) Delay-sensitive and multimedia communication in cognitive radio sensor networks, Ad Hoc Networks (Elsevier).Google Scholar
  4. 4.
    Cai L X, Liu Y, Shen X, Mark J-W, Zhao D (2010) Distributed QoS-aware MAC for multimedia over cognitive radio networks. in: Proc. IEEE Globecom 2010. 1–5Google Scholar
  5. 5.
    Cao L, Zheng H (2008) Distributed rule-regulated spectrum sharing. IEEE J Sel Area Comm 26(1):130–145MathSciNetCrossRefGoogle Scholar
  6. 6.
    Chen Y, Wu Y, B Wang, Ray Liu K J (2010) An auction-based framework for multimedia streaming over cognitive radio networks. in: Proc. IEEE ICASSP 2010. 2350–2353Google Scholar
  7. 7.
    Cordeiro C, Challapali K, Birru D, Sai S N (2005) IEEE 802.22: the first worldwide wireless standard based on cognitive radios. in: Proc. IEEE DySPAN 2005. 328–337Google Scholar
  8. 8.
    Deng H, Yeh C H, Willis R J (2000) Inter-company comparison using modified TOPSIS with objective weights. in Computers & Operations Research. 963–973Google Scholar
  9. 9.
    FCC (2003) Notice of proposed rule making and order, ET Docket No. 03–222.Google Scholar
  10. 10.
    Gungor V C, Akan O B, Akyildiz I F (2008) A Real-Time and Reliable Transport (RT)2 Protocol for Wireless Sensor and Actor Networks. IEEE/ACM Transactions on Networking. 16(2)Google Scholar
  11. 11.
    Jelacic Z. Cognitive radio as a background for adaptive multimedia services,
  12. 12.
    Jo O, Cho D-H (2008) Efficient spectrum matching based on spectrum characteristics in cognitive radio systems, wireless telecommunications symposium. 230–235Google Scholar
  13. 13.
    Jo O, Park J H, Cho D-H (2007) QoS provisioning spectrum management based on intelligent matching and reservation for cognitive radio system. in: Proc. IEEE CrownCom 2007, pp. 530–534Google Scholar
  14. 14.
    Kim K, Uno S, Kim M (2010) Adaptive QoS mechanism for wireless mobile network. J Comp Sci Engr 4(2):153–172Google Scholar
  15. 15.
    Kuhn HW (1955) The hungarian method for the assignment problem. Naval Research Logistics Quarterly 2:83–97MathSciNetCrossRefGoogle Scholar
  16. 16.
    Kushwaha H, Yiping X, Chandramouli R, Heffes H (2008) Reliable multimedia transmission over cognitive radio networks using fountain codes, Proceedings of the IEEE. 96(1).Google Scholar
  17. 17.
    Lee M, Han D (2011) Ubiscript: a script language for ubiquitous environment. J Comp Sci Engr 5(2):141–149MathSciNetCrossRefGoogle Scholar
  18. 18.
    Letaief K B (2009) Pathways towards Next Generation Cognitive Ubiquitous Networks. in: Proc. IEEE CMC 2009.Google Scholar
  19. 19.
    Liu X, Yoo KY, Kim SW (2010) Low complexity Intra prediction algorithm for MPEG-2 to H.264/AVC transcoder. IEEE Trans Consum Electron 56(2):987–994CrossRefGoogle Scholar
  20. 20.
    Mitola J III (2001) Cognitive radio for flexible mobile multimedia communications. Mobile Netw Appl 6(5):435–441MATHCrossRefGoogle Scholar
  21. 21.
    Nie N, Comaniciu C (2005) Adaptive channel allocation spectrum etiquette for cognitive radio networks. in: Proc. IEEE DySPAN 2005. 269–278Google Scholar
  22. 22.
    Richard Yu F, Sun B, Krishnamurthy V, Ali S (2011) Application layer QoS provisioning for multimedia transmission in cognitive radio networks. ACM Journal of Wireless Networks. 17(2)Google Scholar
  23. 23.
    Shiang H-P, van der Schaar M (2008) Queuing-based dynamic channel selection for heterogeneous multimedia applications over cognitive radio networks. IEEE Trans Multimedia 10(5):896–909CrossRefGoogle Scholar
  24. 24.
    Shiang H-P, van der Schaar M (2009) Multi-user multimedia transmission over cognitive radio networks using priority queuing, cognitive radio systems (2009), In-Tech, ISBN: 978-953-7619-25-1Google Scholar
  25. 25.
    Shiang H-P, van der Schaar M (2009) Distributed resource management in multi-hop cognitive radio networks for delay sensitive transmission. IEEE Trans Veh Technol 58(2):941–953CrossRefGoogle Scholar
  26. 26.
    Swami S, Ghosh C, Dhekne R P, Agrawal D P, Berman K A (2008) Graph theoretic approach to QoS-guaranteed spectrum allocation in cognitive radio networks. in: Proc. IEEE IPCCC 2008. 354–359Google Scholar
  27. 27.
    Wang X, Vasilakos A, Chen M, Liu Y, Kwon T (2011) A Survey of Green Mobile Networks: Opportunities and Challenges, ACM/Springer Mobile Networks and Applications (MONET), DOI: 10.1007/s11036-011-0316-4.Google Scholar
  28. 28.
    Yuan Y, Bahl P, Chandra R, Moscibroda T, Wu Y (2007) Allocating Dynamic Time-Spectrum Blocks in Cognitive Radio Networks. in: Proc. of MOBIHOC 2007. 130–139Google Scholar
  29. 29.
    Zhao Q, Sadler BM (2007) A survey of dynamic spectrum access. IEEE Signal Process Mag 24(3):79–89CrossRefGoogle Scholar
  30. 30.
    Zheng H, Cao L (2005) Device-centric spectrum management. in: Proc. IEEE DySPAN 2005. 56–65Google Scholar

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

Personalised recommendations