Advertisement

Interference Coordination in Cognitive Radio Systems

  • Lu Yang
  • Wei Zhang
Chapter
Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Abstract

5G communication network is viewed as a “cognitive network” since it is featured by the coexistence of multiple communication systems. Therefore, cognitive radio will play a key role in 5G communication systems. In this chapter, we present interference coordination techniques for cognitive radio systems, which enable the secondary systems to exploit the spatial spectrum hole of primary systems. First, the cognitive interference network is considered, where both primary and secondary system are point-to-point MIMO. An interference coordination scheme is introduced to eliminate the interference on the primary system. Then, a cognitive uplink network is studied, where the secondary system becomes a uplink network. We present an opportunistic user scheduling scheme to improve the performance of secondary system by relaxing the interference constraint of primary system and taking advantage of multiuser diversity.

Keywords

Cognitive Radio Secondary User Cognitive Radio Network Primary System Primary Receiver 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Badoi, C., Prasad, N., Croitoru, V., & Prasad, R. (2011). 5G based on cognitive radio. Wireless Personal Communications, 57(3), 441–464.CrossRefGoogle Scholar
  2. 2.
    Yang, L., Zhang, W., & Jin, S. (2015). Interferene alignment in device-to-device LAN underlaying cellular network. IEEE Transactions on Wireless Communications, 14(7), 3715–3723.CrossRefGoogle Scholar
  3. 3.
    Guler, B., & Yener, A. (2014). Selective interference alignment fo MIMO cognitive femtocell networks. IEEE Journal on Selected Areas in Communications, 32(3), 439–450.CrossRefGoogle Scholar
  4. 4.
    Mitola, J., & Maguire, G. (1999). Cognitive radio: Making software radios more personal. IEEE Personal Communications, 6, 13–18.CrossRefGoogle Scholar
  5. 5.
    Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2), 201–220.CrossRefGoogle Scholar
  6. 6.
    Perlaza, S. M., Fawaz, N., Lasaulce, S., & Debbah, M. (2010). From spectrum pooling to space pooling: Opportunistic interference alignment in MIMO cognitive networks. IEEE Transactions on Signal Processing, 58(7), 3728–3741.MathSciNetCrossRefGoogle Scholar
  7. 7.
    Yang, L., & Zhang, W. (2015). On degrees of freedom region of three-user MIMO interference channels. Transactions on Signal Processing, 63(3), 590–603.MathSciNetCrossRefGoogle Scholar
  8. 8.
    Yang, L., & Zhang, W. (2014). Interference alignment with asymmetric complex signaling on MIMO X channels. IEEE Transactions on Communications, 62(10), 3560–3570.CrossRefGoogle Scholar
  9. 9.
    Zhang, R., & Liang, Y. (2008). Exploiting multi-Antennas for opportunistic spectrum sharing in cognitive radio networks. IEEE Journal of Selected Topics in Signal Processing, 2(1), 88–102.CrossRefGoogle Scholar
  10. 10.
    Telatar, E. (1999). Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications, 10(6), 585–596.MathSciNetCrossRefGoogle Scholar
  11. 11.
    Amir, M., El-Keyi, A., & Nafle, M. (2010). Opportunistic interference alignment for multiuser cognitive radio. In Proceedings of the IEEE Information Theory Workshop, Cairo, 6–8 Jan 2010.Google Scholar
  12. 12.
    Shen, C., & Fitz, M. P. (2011). Opportunistic spatial orthogonalization and its application in fading cognitive radio networks. IEEE Journal on Selected Topics in Signal Processing, 5(1), 182–189.CrossRefGoogle Scholar
  13. 13.
    Zhang, L., Liang, Y. C., & Xin, Y. (2008). Joint beamforming and power allocation for multiple access channels in cognitive radio networks. IEEE Journal on Selected Areas in Communications, 26(1), 38–51.CrossRefGoogle Scholar
  14. 14.
    Ban, T., Choi, W., Jung, B. C., & Sung, D. K. (2009). Multi-user diversity in a spectrum sharing system. IEEE Transactions on Wireless Communication, 8(1), 102–106.CrossRefGoogle Scholar
  15. 15.
    Zhang, R., & Liang, Y. C. (2010). Investigation on multiuser diversity in spectrum sharing based cognitive radio networks. IEEE Communications Letters, 14(2), 133–135.CrossRefGoogle Scholar
  16. 16.
    Yang, L., & Zhang, W. (2013). Opportunistic interference alignment in heterogeneous two-cell uplink network. In Proceedings of the IEEE Interantional Conference on Communications (ICC 2013), Budapest, pp. 5448–5452, 9–13 June 2013.Google Scholar
  17. 17.
    Hamdi, K., Zhang, W., & Letaief, K. B. (2009). Opportunistic spectrum sharing in cognitive MIMO wireless networks. IEEE Transactions on Wireless Communication, 8(8), 4098–4109.CrossRefGoogle Scholar
  18. 18.
    Yoo, T., & Goldsmith, A. (2006). On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming. IEEE Journal on Selected Areas in Communications, 24(3), 528–541.CrossRefGoogle Scholar
  19. 19.
    Zhang, W., & Letaief, K. B. (2008). Opportunistic relaying for dual-hop wireless MIMO channels. In Proceedings of the IEEE Global Communications Conference (GLOBECOM 2008), New Orleans, 30 Nov–4 Dec 2008.Google Scholar
  20. 20.
    Yang, L., Zhang, W., Zheng, N., & Ching, P. C. (2014). Opportunistic user scheduling in MIMO cognitive radio networks. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), Florence, pp. 7303–7307, 4–9 May 2014.Google Scholar

Copyright information

© The Author(s) 2015

Authors and Affiliations

  • Lu Yang
    • 1
  • Wei Zhang
    • 1
  1. 1.The University of New South WalesSydneyAustralia

Personalised recommendations