Performance analysis for NOMA energy harvesting relaying networks with transmit antenna selection and maximal-ratio combining over Nakagami-m fading

Weiliang Han; Jianhua Ge; Jinjin Men

Performance analysis for NOMA energy harvesting relaying networks with transmit antenna selection and maximal-ratio combining over Nakagami-m fading

View Fulltext

Author(s): Weiliang Han ¹ ; Jianhua Ge ¹ ; Jinjin Men ¹
- Affiliations: 1: State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, Shaanxi 710071, People's Republic of China
Source: Volume 10, Issue 18, 15 December 2016, p. 2687 – 2693
DOI: 10.1049/iet-com.2016.0630 , Print ISSN 1751-8628, Online ISSN 1751-8636

Received 27/05/2016, Accepted 29/08/2016, Revised 06/08/2016, Published 15/12/2016

Non-orthogonal multiple access (NOMA), which is an effective solution to improve spectral efficiency, has been considered as an emerging candidate for the fifth generation multiple access. In addition, simultaneous wireless information and power transfer, which aims to maximise energy efficiency, has received significant attention. In this study, the authors design NOMA for downlink energy harvesting (EH) multiple-antenna relaying networks. The base station communicates with multiple mobile users simultaneously via an EH relay node. In the first slot, the relay node harvests energy from the received signals; and in the second slot, the relay node uses the harvested energy to broadcast the received signals to all mobile users. Antenna selection is adopted at the base station while maximal-ratio combining is applied at the mobile users. The outage performance for the NOMA-EH relaying networks is studied over Nakagami-m fading and closed-form expressions for the outage probability are obtained. In addition, the presented simulation results demonstrate the correctness of the authors’ analysis and the advantage of NOMA over conventional orthogonal multiple access.

References

1. 1)
  - 16. Chen, Z., Yuan, J., Li, Y., et al: ‘Error performance of maximal-ratio combining with transmit antenna selection in flat Nakagami-m fading channels’, IEEE Trans. Wirel. Commun., 2009, 8, (1), pp. 424–431 (doi: 10.1109/T-WC.2009.080207).
2. 2)
  - 9. Nasir, A.A., Zhou, X., Durrani, S., Kennedy, R.A.: ‘Relaying protocols for wireless energy harvesting and information processing’, IEEE Trans. Wirel. Commun., 2013, 12, (7), pp. 3622–3636 (doi: 10.1109/TWC.2013.062413.122042).
3. 3)
  - 4. Ding, Z.G., Yang, Z., Fan, P.Z., et al: ‘On the performance of non-orthogonal multiple access in 5G systems with randomly deployed users’, IEEE Signal Process. Lett., 2014, 21, (12), pp. 1501–1505 (doi: 10.1109/LSP.2014.2343971).
4. 4)
  - 15. Annamalai, A., Tellambura, C.: ‘Error rates for Nakagami-m fading multichannel reception of binary and M-ary signals’, IEEE Trans. Commun., 2001, 49, (1), pp. 58–68 (doi: 10.1109/26.898251).
5. 5)
  - 6. Men, J., Ge, J.: ‘Performance analysis of non-orthogonal multiple access in downlink cooperative network’, IET Commun., 2015, 9, (18), pp. 2267–2273 (doi: 10.1049/iet-com.2015.0203).
6. 6)
  - 5. Men, J., Ge, J.: ‘Non-orthogonal multiple access for multiple-antenna relaying networks’, IEEE Commun. Lett., 2015, 19, (10), pp. 1686–1689 (doi: 10.1109/LCOMM.2015.2472006).
7. 7)
  - 4. Sun, Q., Han, S.F., I, C.-L., Pan, Z.G.: ‘On the ergodic capacity of MIMO NOMA systems’, IEEE Wirel. Commun. Lett., 2015, 4, (4), pp. 405–408 (doi: 10.1109/LWC.2015.2426709).
8. 8)
  - 1. Li, Q.C., Niu, H., Papathanassiou, A.T., et al: ‘5G network capacity: key elements and technologies’, IEEE Veh. Technol. Mag., 2014, 9, (1), pp. 7–78 (doi: 10.1109/MVT.2013.2295070).
9. 9)
  - 17. David, H.A., Nagaraja, H.N.: ‘Order Statistics’ (John Wiley, New York, 2003, 3rd edn.).
10. 10)
  - 8. Zhou, X., Zhang, R., Ho, C.K.: ‘Wireless information and power transfer: architecture design and rate-energy tradeoff’, IEEE Trans. Commun., 2013, 61, (11), pp. 4754–4767 (doi: 10.1109/TCOMM.2013.13.120855).
11. 11)
  - 7. Kim, J., Lee, I.: ‘Capacity analysis of cooperative relaying systems using non-orthogonal multiple access’, IEEE Commun. Lett., 2015, 19, (11), pp. 1949–1952 (doi: 10.1109/LCOMM.2015.2472414).
12. 12)
  - 3. Zhang, R., Ho, C.K.: ‘MIMO broadcasting for simultaneous wireless information and power transfer’, IEEE Trans. Wirel. Commun., 2013, 12, (5), pp. 1989–2001 (doi: 10.1109/TWC.2013.031813.120224).
13. 13)
  - 2. Saito, Y., Benjebbour, A., Kishiyama, Y., et al: ‘System level performance evaluation of downlink non-orthogonal multiple access (NOMA)’. Proc. IEEE Personal, Indoor and Mobile Radio Communications (PIMRC), London, UK, September 2013, pp. 611–615.
14. 14)
  - 10. Varshney, L.R.: ‘Transporting information and energy simultaneously’. Proc. IEEE Int. Symp. Information Theory, Toronto, Canada, July 2008, pp. 1612–1616.
15. 15)
  - 3. Ho, C.K., Zhang, R.: ‘Optimal energy allocation for wireless communications with energy harvesting constraints’, IEEE Trans. Signal Process., 2012, 60, (9), pp. 4808–4818 (doi: 10.1109/TSP.2012.2199984).
16. 16)
  - 11. Liu, Y., Ding, Z., Elkashlan, M., et al: ‘Cooperative non-orthogonal multiple access with simultaneous wireless information and power transfer’, IEEE J. Sel. Areas Commun., 2016, 34, (4), pp. 938–953. Available at: http://www.arxiv.org/abs/1511.02833 (doi: 10.1109/JSAC.2016.2549378).
17. 17)
  - 13. Diamantoulakis, P.D., Pappi, K.N., Ding, Z.G., et al: ‘Wireless powered communications with non-orthogonal multiple access’, IEEE Trans. Wirel. Commun., http://arxiv.org/abs/1511.01291v2, submit to.
18. 18)
  - 16. Gradshteyn, I.S., Ryzhik, I.M.: ‘Table of integrals, series and products’ (Academic Press, New York, 2000, 6th edn.).

Login

Not registered yet?

Share

Tools

Login to add to favourites

Key

Performance analysis for NOMA energy harvesting relaying networks with transmit antenna selection and maximal-ratio combining over Nakagami-m fading

References

Related content