DOI QR코드

DOI QR Code

QoS-Guaranteed Capacity of Centralized Cognitive Radio Networks with Interference Averaging Techniques

  • Wang, Jing (School of Information Science and Engineering, Xiamen University) ;
  • Lin, Mingming (School of Information Science and Engineering, Xiamen University) ;
  • Hong, Xuemin (School of Information Science and Engineering, Xiamen University) ;
  • Shi, Jianghong (School of Information Science and Engineering, Xiamen University)
  • Received : 2013.08.19
  • Accepted : 2013.12.28
  • Published : 2014.01.30

Abstract

It is widely believed that cognitive radio (CR) networks have an opportunistic nature and therefore can only support best-effort traffics without quality-of-service (QoS) guarantees. In this paper, we propose a centralized CR network that adopts interference averaging techniques to support QoS guaranteed traffics under interference outage constraints. In such a CR network, a CR user adaptively adjusts its transmit power to compensate for the channel loss, thereby keeping the receive signal power at the CR base station (BS) at a constant level. The closed-form system capacity of such a CR network is analyzed and derived for a single cell with one CR BS and multiple CR users, taking into account various key factors such as interference outage constraints, channel fading, cell radius, and locations of primary users. The accuracy of the theoretical results is validated by Monte Carlo simulations. Numerical and simulation results show promising capacity potential for deploying QoS-guaranteed CR networks in frequency bands with fixed primary receivers. Our work can provide theoretical guidelines for the strategic planning of centralized CR networks.

Keywords

References

  1. FCC Spectrum Policy Task Force, "Report of the spectrum efficiency working group," Nov. 2002. [Online].
  2. FCC, "Facilitating opportunities for flexible, efficient, and reliable spectrum use employing cognitive radio technologies," NPRM & Order, ET Docket No. 03-108, FCC 03-322, Dec. 2003.
  3. Federal Communications Commission, "Spectrum Policy Task Force," Rep. ET Docket no. 02-135, Nov. 2002.
  4. I. F. Akyildiz, W. Y. Lee, M. C. Vuran, and S. Mohanty, "Next generation dynamic spectrum access/cognitive radio wireless networks: a survey," Computer Networks, vol. 50, no. 13, pp. 2127-2159, Sept. 2006. https://doi.org/10.1016/j.comnet.2006.05.001
  5. S. Haykin, "Cognitive radio: brain-empowered wireless communications," IEEE J. Sel. Areas Commun., vol. 23, no. 2, pp. 201-220, Feb. 2005. https://doi.org/10.1109/JSAC.2004.839380
  6. X. Hong, C.-X. Wang, H.-H. Chen, and Y. Zhang, "Secondary spectrum access networks," IEEE Vehi. Technol. Mag., vol. 4, no. 2, pp. 36-43, June 2008.
  7. S. Srinivasa and S. A. Jafar, "The throughput potential of cognitive radio: a theoretical perspective," in Proc. of Fortieth Asilomar Conference on Signals, Systems and Computers, pp. 221 - 225, 2006.
  8. M. Gastpar, "On capacity under receive and spatial spectrum-sharing constraints", IEEE Trans. Inform. Theory, vol. 53, no. 2, pp. 471-487, Feb. 2007. https://doi.org/10.1109/TIT.2006.889016
  9. A. Ghasemi and E. S. Sousa, "Capacity of fading channels under spectrum-sharing constraints," in Proc. of IEEE ICC'06, Istanbul, Turkey, June 2006, pp. 4373-4378.
  10. C.-X. Wang, X. Hong, H.-H. Chen, and J. S. Thompson, "On capacity of cognitive radio networks with average interference power constraints," IEEE Trans. Wireless Commun., vol. 8, no. 4, pp. 1620-1625, Apr. 2009. https://doi.org/10.1109/TWC.2009.071075
  11. R. Menon, R. M. Buehrer, and J. H. Reed, "Outage probability based comparison of underlay and overlay spectrum sharing techniques," in Proc. of IEEE DySPAN'05, Baltimore, USA, Nov. 2005, pp. 101-109.
  12. S. Akin and M. C. Gursoy, "QoS Analysis of Cognitive Radio Channels with Perfect CSI at both Receiver and Transmitter," in Proc. of IEEE Wireless Communications and Networking Conference (WCNC), 2010.
  13. T. Wysocki and A. Jamalipour, "Mean-Variance Based QoS Management in Cognitive Radio", IEEE Trans. Wireless Commun., vol. 9, no. 10, pp. 3281-3289, 2010. https://doi.org/10.1109/TWC.2010.080210.100335
  14. S. Akin and M. C. Gursoy, "Performance Analysis of Cognitive Radio Systems under QoS Constraints and Channel Uncertainty," IEEE Global Telecommunications Conference (GLOBECOM), 2010.
  15. Q. He and H. Zhou, "Research on the Routing Algorithm Based on QoS Requirement for Cognitive Radio Networks," in Proc. of International Conference on Computer Science and Software Engineering, vol. 4, pp. 1114 - 1117, Dec. 2008.
  16. V. Mishra, Lau Chiew Tong, S. Chan and J. Mathew, "MAC protocol for Two level QoS support in Cognitive Radio Network," in Proc. of International Symposium on Electronic System Design (ISED), Dec. 2011.
  17. Shao-Yu Lien, Chih-Cheng Tseng, Kwang-Cheng Chen, and Chih-Wei Su, "Cognitive Radio Resource Management for QoS Guarantees in Autonomous Femtocell Networks," in Proc. of IEEE International Conference on Communications (ICC), May 2010.
  18. Li-Chun Wang and Chung-Wei Wang, "Spectrum management techniques with QoS provisioning in cognitive radio networks," in Proc. of 5th IEEE International Symposium on Wireless Pervasive Computing (ISWPC), May 2010.
  19. J. Gao, H. A. Suraweera, M. Shafi, and M. Faulkner, "Channel capacity of a cognitive radio network in GSM uplink band," in Proc. of IEEE Intl. Symp. Commun. Inform. Technol. (ISCIT), Sydney, Australia, Oct. 2007, pp. 1511-1515.
  20. C.-X. Wang, H.-H. Chen, X. Hong, and M. Guizani, "Cognitive radio network management-tuning to real time conditions," IEEE Vehi. Technol. Mag., vol. 3, no. 1, pp. 28-35, Mar. 2008. https://doi.org/10.1109/MVT.2008.919405
  21. S. Akin and M. C. Gursoy, "Cognitive Radio Transmission under Interference Limitations and QoS Constraints," in Proc. of IEEE International Conference on Communications (ICC), May 2010.
  22. D. Wu and R. Negi, "Effective capacity: a wireless link model for support of quality of service", IEEE Trans. Wireless Commun., vol.2, no. 4, pp. 630-643, July 2003.
  23. S. A. Jafar and S. Srinivasa, "Capacity limits of cognitive radio with distributed and dynamic spectral activity," IEEE. J. Sel. Areas Commun. vol. 25, no. 3, pp. 529-537, Apr. 2007. https://doi.org/10.1109/JSAC.2007.070403
  24. G. L. Stuber, Principles of Mobile Communication, 2nd Edition, Boston: Kluwer Academic Publishers, 2001.
  25. X. Gong, S. A. Vorobyov, and C. Tellambura, "Optimal bandwidth and power allocation for sum ergodic capacity under fading channels in cognitive radio networks," IEEE Trans. Signal Processing, vol. 59, no. 4, pp. 1814-1826, April 2011. https://doi.org/10.1109/TSP.2010.2101069
  26. W. Wang, W. Wang, Q. Lu, K. G. Shin, and T. Peng, "Geometry-based optimal power control of fading multiple access channels for maximum sum-rate in cognitive radio networks," IEEE Trans. Wireless Commun., vol. 9, no. 6, pp. 1843-1848, June 2010. https://doi.org/10.1109/TWC.2010.06.090868
  27. A. Papoulis and S. U. Pillai, Probability, Random Variables and Stochastic Processes, 4th ed. New York: McGraw-Hill, 2002.
  28. Y.-R. Tsai and J.-F. Chang, "Feasibility of adding a personal communications network to an existing fixed-service microwave system," IEEE Trans. Commun., vol.44, no.1, pp. 76-83, Jan. 1996. https://doi.org/10.1109/26.476099
  29. R. Fantacci, D. Marabissi, and D. Tarchi, "Proposal of a fixed communication system sharing the bandwidth of an existing personal communication network," IEEE Trans. Vehi. Technol., vol. 57, no. 1, pp. 180-187, Jan. 2008. https://doi.org/10.1109/TVT.2007.905394

Cited by

  1. A novel adaptive spectrum reservation strategy in CRNs and its performance optimization vol.12, pp.6, 2014, https://doi.org/10.1007/s11590-016-1093-6