In this paper, the authors consider an underlay multi-hop cognitive radio network with energy harvesting secondary nodes, where there is a cluster of secondary decode-and-forward relays in each hop. The secondary nodes have no separate energy source available with them, but wake up from idle mode to harvest energy from the primary signal with the time-switching protocol, and use it for transmitting/relaying using the peak interference constraint. In each cluster, a relay with maximum transmit power is selected except in the last one. In the last cluster, a relay which has a maximum signal-to-noise ratio (SNR) at the secondary destination is selected. Though the suggested scheme has low implementation complexity and requires very little channel estimation, its performance is close to that of a scheme in which the link with the best SNR is chosen in each hop (which requires a lot of channel estimation). Analytical expressions are derived for the end-to-end outage probability and throughput assuming Rayleigh faded channels. They show that it is important to optimise the time-switching parameter (fraction of time devoted to energy harvesting) and the number of hops. Simulations confirm the accuracy of the derived expressions.

References

1. 1)
  - 8. Bao, V.N.Q., Duong, T.Q., Tellambura, C.: ‘On the performance of cognitive underlay multihop networks with imperfect channel state information’, IEEE Trans. Commun., 2013, 61, (12), pp. 4864–4873.
2. 2)
  - 7. Kumaresan, A., Kavitha, K.: ‘Outage performance of cognitive wireless relay network with cooperative communication’. 2016 Int. Conf. on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, India, 2016, pp. 1960–1965.
3. 3)
  - 20. Xu, C., Zheng, M., Liang, W., et al: ‘Outage performance of underlay multihop cognitive relay networks with energy harvesting’, IEEE Commun. Lett., 2016, 20, (6), pp. 1148–1151.
4. 4)
  - 17. Xu, C., Zheng, M., Liang, W., et al: ‘End-to-end throughput maximization for underlay multi-hop cognitive radio networks with RF energy harvesting’, IEEE Trans. Wirel. Commun., 2017, 16, (6), pp. 3561–3572.
5. 5)
  - 18. Banerjee, A., Paul, A., Maity, S.P.: ‘Joint power allocation and route selection for outage minimization in multihop cognitive radio networks with energy harvesting’, IEEE Trans. Cognit. Commun. Netw., 2018, 4, (1), pp. 82–92.
6. 6)
  - 1. Liu, Y., Mousavifar, S.A., Deng, Y., et al: ‘Wireless energy harvesting in a cognitive relay network’, IEEE Trans. Wirel. Commun., 2016, 15, (4), pp. 2498–2508.
7. 7)
  - 12. Basak, S., Acharya, T.: ‘Spectrum aware outage minimizing cooperative routing in cognitive radio sensor networks in wireless networks’, Wirel. Netw., 2018, 26, pp. 1–16.
8. 8)
  - 10. Hyadi, A., Benjillali, M., Alouini, M.S., et al: ‘Performance analysis of underlay cognitive multihop regenerative relaying systems with multiple primary receivers’, IEEE Trans. Wirel. Commun., 2013, 12, (12), pp. 6418–6429.
9. 9)
  - 6. Haykin, S.: ‘Cognitive radio: brain-empowered wireless communications’, IEEE J. Sel. Areas Commun., 2005, 23, (2), pp. 201–220.
10. 10)
  - 16. Varshney, L.R.: ‘Transporting information and energy simultaneously’. 2008 IEEE Int. Symp. on Information Theory, Toronto, Canada, 2008, pp. 1612–1616.
11. 11)
  - 14. Zhang, X., Xing, J., Yan, Z., et al: ‘Cognitive multihop wireless sensor networks over nakagami-m fading channels’, Int. J. Distrib. Sensor Netw., 2014, 10, (8), p. 630823.
12. 12)
  - 4. Nguyen, V.D., Nguyen, H.V., Shin, O.S.: ‘Wireless energy harvesting for cognitive multihop wireless sensor networks’, Int. J. Distrib. Sensor Netw., 2015, 11, (8), p. 613165.
13. 13)
  - 2. Lu, X., Wang, P., Niyato, D., et al: ‘Wireless networks with RF energy harvesting: a contemporary survey’, IEEE Commun. Surv. Tutor., 2015, 17, (2), pp. 757–789.
14. 14)
  - 15. Liu, L., Zhang, R., Chua, K.C.: ‘Wireless information transfer with opportunistic energy harvesting’. 2012 IEEE Int. Symp. on Information Theory Proc., Boston, MA, USA, 2012, pp. 950–954.
15. 15)
  - 22. Bletsas, A., Khisti, A., Reed, D.P., et al: ‘A simple cooperative diversity method based on network path selection’, IEEE J. Sel. Areas Commun., 2006, 24, (3), p. 659672.
16. 16)
  - 11. Som, P., Chockalingam, A.: ‘Performance analysis of space-shift keying in decode-and-forward multihop mimo networks’, IEEE Trans. Veh. Technol., 2015, 64, (1), pp. 132–146.
17. 17)
  - 9. Tran, T.T., Bao, V.N.Q., Thanh, V.D., et al: ‘Performance analysis of spectrum sharing-based multi-hop decode-and-forward relay networks under interference constraints’. 2012 Fourth Int. Conf. on Communications and Electronics (ICCE), Hue, Vietnam, 2012, pp. 200–205.
18. 18)
  - 5. Nasir, A.A., Zhou, X., Durrani, S., et al: ‘Relaying protocols for wireless energy harvesting and information processing’, IEEE Trans. Wirel. Commun., 2013, 12, (7), pp. 3622–3636.
19. 19)
  - 19. Kalamkar, S.S., Banerjee, A.: ‘Interference-aided energy harvesting: cognitive relaying with multiple primary transceivers’, IEEE Trans. Cognit. Commun. Netw., 2017, 3, (3), p. 313327.
20. 20)
  - 13. Boddapati, H.K., Prakriya, S., Bhatnagar, M.R.: ‘Outage analysis of cluster-based multi-hop cognitive radio networks’. 2016 IEEE 83rd Vehicular Technology Conf. (VTC Spring), Nanjing, China, 2016, pp. 1–5.
21. 21)
  - 21. An, K., Liang, T., Zheng, G., et al: ‘Performance lim- its of cognitive uplink FSS and terrestrial FS for KA-band’, IEEE Trans. Aerosp. Electron. Syst., 2019, 55, (5), pp. 2604–2611.
22. 22)
  - 3. Chen, E., Xia, M., da Costa, D.B., et al: ‘Multi-hop cooperative re- laying with energy harvesting from co-channel interferences’, IEEE Commun. Lett., 2017, 21, (5), pp. 1199–1202.

Performance off cluster-based multi-hop underlay networks with energy harvesting nodes

References

Related content