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Precoding and Scheduling in Multibeam Multicast NOMA based Satellite Communication Systems

Authors: Sareh Majidi Ivari; Màrius Caus; Miguel Ángel Vázquez; M. Reza Soleymani; Yousef R. Shayan; Ana I. Pérez-Neira;

Precoding and Scheduling in Multibeam Multicast NOMA based Satellite Communication Systems

Abstract

In this paper, we propose a multibeam multicast non-orthogonal multiple access-based (MB-MC-NOMA) scheme for satellite communication systems. Building upon the multibeam transmission, we exploit precoding and NOMA techniques to deal with inter-and intra-beam interference, respectively. Combining these two techniques in the multicast transmission is not trivial as both scheduling, and the precoding design shall be reconsidered. Indeed, it is shown there is a contradiction between criteria for efficient user scheduling in MC-NOMA and MClinear precoding: while the first one requires a strong channel gain imbalance between user terminals, the latter seeks user channel vector similarities. To tackle this problem, we propose a user scheduling in MB-MC-NOMA, which provides a good balance between these two criteria. Besides, the MC-linear precoding is designed with aid of a mapping function that deals with the lack of spatial degrees of freedom. The numerical simulation results show that the performance of the MB-MC-NOMA scheme is improved by using the proposed user scheduling and a novel precoding design based on the singular value decomposition (SVD). Moreover, the MB-MCNOMA scheme outperforms its orthogonal version scheme. In particular, we observe that the throughput of the MB-MC-NOMA is increased a 25% with respect to MB-MC-OMA scheme under certain fair conditions.

Grant numbers : TERESA - Hybrid TERrEstrial/Satellite Air Interface for 5G and Beyond (TEC2017-90093-C3-1-R).

Keywords

linear precoding, fairness,, user scheduling, Multicast NOMA

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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