http://iet.metastore.ingenta.com
1887

Transceiver design for cooperative non-orthogonal multiple access systems with wireless energy transfer

Transceiver design for cooperative non-orthogonal multiple access systems with wireless energy transfer

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

In this study, an energy harvesting (EH)-based cooperative non-orthogonal multiple access (NOMA) system is considered, where node S simultaneously sends independent signals to a stronger node R and a weaker node D. The authors focus on the scenario that the direct link between S and D is too weak to meet the quality of service (QoS) of D. Based on the NOMA principle, R, the stronger user, has prior knowledge about the information of the weaker user, D. To satisfy the targeted rate of D, R also serves as an EH decode-and-forward relay to forward the traffic from S to D. In the sense of equivalent cognitive radio concept, R viewed as a secondary user assists to boost D’s performance, in exchange for receiving its own information from S. Specifically, transmitter beamforming, power splitter and receiver filter are jointly designed to maximise R’s rate with the predefined QoS constraint of D and the power constraint of S. Since the problem is non-convex, they propose an iterative approach to solve it. Moreover, a zero-forcing based low-complexity solution is also presented. Simulation results demonstrate that, both two proposed schemes have better performance than the direction transmission.

References

    1. 1)
    2. 2)
      • 2. Varshney, L.R.: ‘Transporting information and energy simultaneously’. Proc. IEEE Information Theory (ISIT), 2008, pp. 16121616.
    3. 3)
    4. 4)
      • 4. Nasir, A.A., Zhou, X., Durrani, S., et al: ‘Throughput and ergodic capacity of wireless energy harvesting based DF relaying network’. Proc. IEEE Int. Conf. on Communications (ICC), 2014, pp. 40664071.
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
      • 12. Kim, B., Lim, S., Kim, H., et al: ‘Non-orthogonal multiple access in a downlink multiuser beamforming system’. Proc. IEEE Military Communications Conf. (MILCOM), 2013, pp. 12781283.
    13. 13)
      • 13. Sun, Q., Han, S., Xu, Z., et al: ‘Sum rate optimization for MIMO non-orthogonal multiple access systems’. Proc. IEEE Wireless Communications and Networking Conf. (WCNC), 2015, pp. 747752.
    14. 14)
    15. 15)
    16. 16)
    17. 17)
      • 17. Tse, D., Viswanath, P.: ‘Fundamentals of wireless communication’ (Cambridge University Press, 2005).
    18. 18)
      • 18. Isheden, C., Chong, Z., Jorswieck, E., et al: ‘Framework for link-level energy efficiency optimization with informed transmitter’, IEEE Trans. Wirel. Commun., 2012, 11, (8), pp. 29462957.
    19. 19)
      • 19. Grant, M., Boyd, S.: ‘cvx: Matlab software for disciplined convex programming, version 1.22’. 2012, available: http://cvxr.com/cvx.
    20. 20)
    21. 21)
      • 21. Boyd, S., Vandenberghe, L.: ‘Convex optimization’ (Cambridge University Press, 2004).
    22. 22)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2016.0120
Loading

Related content

content/journals/10.1049/iet-com.2016.0120
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address