Optimal Resource Allocation for Multicarrier MISO-NOMA Systems

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Details zur Publikation

Autor(en): Sun Y, Ng DWK, Schober R
Jahr der Veröffentlichung: 2017
ISSN: 1550-3607


In this paper, we investigate optimal resource allocation for multicarrier (MC) multiple-input single-output non-orthogonal multiple access (MISO-NOMA) downlink systems. The resource allocation design for the maximization of the weighted system throughput is formulated as a non-convex optimization problem taking into account the quality-of-service requirements of the downlink receivers. We employ monotonic optimization to solve the formulated problem and to obtain the optimal joint precoding and subcarrier allocation policy. The optimal resource allocation policy serves as a performance benchmark due to its high computational complexity. Furthermore, a low-complexity suboptimal resource allocation algorithm is developed and shown to find a locally optimal solution. Our simulation results reveal that the suboptimal algorithm closely approaches the optimal performance. Besides, our results show that MC MISO-NOMA significantly improves the system throughput compared to conventional MC MISO orthogonal multiple access.

FAU-Autoren / FAU-Herausgeber

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

Autor(en) der externen Einrichtung(en)
University of New South Wales (UNSW)


Sun, Y., Ng, D.W.K., & Schober, R. (2017). Optimal Resource Allocation for Multicarrier MISO-NOMA Systems.

Sun, Yan, Derrick Wing Kwan Ng, and Robert Schober. "Optimal Resource Allocation for Multicarrier MISO-NOMA Systems." 2017.


Zuletzt aktualisiert 2018-17-09 um 12:38