Optimal Joint Power and Subcarrier Allocation for MC-NOMA Systems

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Details zur Publikation

Autorinnen und Autoren: Sun Y, Ng DWK, Ding Z, Schober R
Jahr der Veröffentlichung: 2016
ISSN: 2334-0983


In this paper, we investigate the resource allocation algorithm design for multicarrier non-orthogonal multiple access (MC-NOMA) systems. The proposed algorithm is obtained from the solution of a non-convex optimization problem for the maximization of the weighted system throughput. We employ monotonic optimization to develop the optimal joint power and subcarrier allocation policy. The optimal resource allocation policy serves as a performance benchmark due to its high complexity. Furthermore, to strike a balance between computational complexity and optimality, a suboptimal scheme with low computational complexity is proposed. Our simulation results reveal that the suboptimal algorithm achieves a close-tooptimal performance and MC-NOMA employing the proposed resource allocation algorithm provides a substantial system throughput improvement compared to conventional multicarrier orthogonal multiple access (MC-OMA).

FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Schober, Robert Prof. Dr.-Ing.
Lehrstuhl für Digitale Übertragung
Sun, Yan
Lehrstuhl für Digitale Übertragung

Einrichtungen weiterer Autorinnen und Autoren

University of Manchester
University of New South Wales (UNSW)


Sun, Y., Ng, D.W.K., Ding, Z., & Schober, R. (2016). Optimal Joint Power and Subcarrier Allocation for MC-NOMA Systems.

Sun, Yan, et al. "Optimal Joint Power and Subcarrier Allocation for MC-NOMA Systems." 2016.


Zuletzt aktualisiert 2018-17-09 um 12:23