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Performance of Non-Orthogonal Multiple Access (NOMA) Systems Over $N$-Nakagami-m Multipath Fading Channels for 5G and Beyond

Amer M. Magableh, Taimour Aldalgamouni, Osamah S. Badarneh, Shahid Mumtaz, Sami Muhaidat

2022IEEE Transactions on Vehicular Technology16 citationsDOI

Abstract

The new Fifth generation (5G) of wireless communications and beyond 5G (B5G) networks are required to provide connectivity for massive number of devices at high speed and low latency. Within this context, non-orthogonal multiple access (NOMA) has been involved and emerged in recent research since it is considered as an enabling technology for 5G and B5G networks. NOMA allows several users to share the same resources of time and frequency, making it an excellent candidate to provide impressively large connectivity with high spectral efficiency. In this paper, we study the performance of NOMA systems assuming independent but not necessarily to be identical <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$N$</tex-math></inline-formula> -Nakagami-m multipath fading channels. This channel model subsumes the double Nakagami-m, which was investigated in the context of intervehicular communications and keyhole multiple input multiple output systems, as special cases. To this end, we derive exact analytical and asymptotic expressions for the probability density function of the overall signal to noise ratio, system capacity, and the pairwise error probability (PEP) for each user. Numerical results are also provided herein to show the effects of fading parameters and number of users on the capacity and the PEP of each user.

Topics & Concepts

FadingNakagami distributionNomaMultipath propagationComputer scienceContext (archaeology)Spectral efficiencyPairwise error probabilityTopology (electrical circuits)AlgorithmMathematicsTelecommunicationsChannel (broadcasting)Telecommunications linkBiologyCombinatoricsPaleontologyAdvanced Wireless Communication TechnologiesSatellite Communication SystemsAdvanced MIMO Systems Optimization