Proactive and Reactive DF Relaying for Energy Harvesting Underlay CR Network

  • Mousam Chatterjee
  • Subhra Shankha Bhattacherjee
  • Chanchal Kumar De
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 470)

Abstract

Outage performance analysis of energy harvesting underlay CR network using proactive and reactive DF relay selection schemes in presence of non-identical Rayleigh fading channel has been studied in this paper. Time switching relay (TSR) protocol is used for the combined task of energy harvesting and signal transmission at relays. The relay can harvest energy from source signal as well as primary transmitter interference. The outage probability has been evaluated at the secondary destination. Selection combining (SC) is used at relays to select the best among them. The effects of number of relay antennas (L) and number of relays (K) on the outage performance for both proactive and reactive DF relaying have also been studied. A trade-off between number of relay and number of antenna at each relay is studied. It is also shown that the reactive DF scheme may generate different outage probability for different values of threshold SNR (\(\mu _{th}\)) for successful decoding at the relays, which may be sometimes better or worse than the proactive DF scheme.

Keywords

Proactive DF Reactive DF Energy harvesting Selection combining Outage probability 

References

  1. 1.
    J. Mitola, G.Q. Maguire, Cognitive radio: making software radios more personal. IEEE Pers. Commun. 6(4), 13–18 (1999)Google Scholar
  2. 2.
    M.L. Ku, W. Li, Y. Chen, K.J.R. Liu, Advances in energy harvesting communications: past, present, and future challenges. IEEE Commun. Surv. Tutorials 18(2), 1384–1412 (2016)Google Scholar
  3. 3.
    X. Lu, P. Wang, D. Niyato, D.I. Kim, Z. Han, Wireless networks with RF energy harvesting: a contemporary survey. IEEE Commun. Surv. Tutorials 17(2), 757–789 (2015)Google Scholar
  4. 4.
    P. Gandotra, R.K. Jha, S. Jain, Green communication in next generation cellular networks: a survey. IEEE Access 5, 11727–11758 (2017)Google Scholar
  5. 5.
    M.M. Mowla, I. Ahmad, D. Habibi, Q.V. Phung, A green communication model for 5G systems. IEEE Trans. Green Commun. Netw. (2017)Google Scholar
  6. 6.
    D.B. da Costa, H. Ding, J. Ge, Z. Jiang, Asymptotic analysis of cooperative diversity systems with relay selection in a spectrum-sharing scenario. IEEE Trans. Veh. Technol. 60(2), 457–472 (2011)Google Scholar
  7. 7.
    J.G. Andrews, J. Lee, H. Wang, D. Hong, Outage probability of cognitive relay networks with interference constraints. IEEE Trans. Wirel. Commun. 10(2), 390–395 (2011)Google Scholar
  8. 8.
    V.A. Bohara, A. Vashistha, S. Sharma, Outage analysis of a multiple antenna cognitive radio system with cooperative decode-and forward relaying. IEEE Wirel. Commun. Lett. 4(2), 125–128 (2015)Google Scholar
  9. 9.
    H.Y. Kong, Multi-relay cooperative diversity protocol with improved spectral efficiency. 13, 240–249 (2011)Google Scholar
  10. 10.
    K. Ho-Van, Exact outage probability analysis of proactive relay selection in cognitive radio networks with MRC receivers. J. Commun. Netw. 18, 288–298 (2016)Google Scholar
  11. 11.
    P. Yang, J. Song, M. Li, G. Zhang, Outage probability gap between proactive and reactive opportunistic cognitive relay networks. Wirel. Pers. Commun.82(4), 2417–2429 (2015). https://doi.org/10.1007/s11277-015-2356-8
  12. 12.
    Y. Bai, Y. Mai, N. Wang, Performance comparison and evaluation of the proactive and reactive routing protocols for manets, in 2017 Wireless Telecommunications Symposium (WTS), April 2017, pp. 1–5Google Scholar
  13. 13.
    A.A. Nasir, D.T. Ngo, X. Zhou, R.A. Kennedy, S. Durrani, Joint resource optimization for multicell networks with wireless energy harvesting relays. IEEE Trans. Veh. Technol. 65(8), 6168–6183 (2016)Google Scholar
  14. 14.
    Y. Gu, S. Aïssa, RF-based energy harvesting in decode-and-forward relaying systems: ergodic and outage capacities. IEEE Trans. Wirel. Commun. 14(11), 6425–6434 (2015)Google Scholar
  15. 15.
    C.K. De, S. Kundu, Proactive and reactive DF relaying for cognitive network with multiple primary users. Radioengineering 25(3), 475 (2016)Google Scholar
  16. 16.
    X. Zhou, R. Zhang, C.K. Ho, Wireless information and power transfer: architecture design and rate-energy tradeoff. IEEE Trans. Commun. 61(11), 4754–4767 (2013)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  • Mousam Chatterjee
    • 1
  • Subhra Shankha Bhattacherjee
    • 2
  • Chanchal Kumar De
    • 3
  1. 1.B. P. Poddar Institute of Management and TechnologyKolkataIndia
  2. 2.Dr. B. C. Roy Engineering CollegeDurgapurIndia
  3. 3.ECE DepartmentHaldia Institute of TechnologyHaldiaIndia

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