Abstract

Non-orthogonal Multiple Access (NOMA) has been envisioned as one of the key enabling techniques to fulfill the requirements of future wireless networks. The primary benefit of NOMA is higher spectrum efficiency compared to Orthogonal Multiple Access (OMA). This paper presents an error rate comparison of two distinct NOMA schemes, i.e., power domain NOMA (PD-NOMA) and Sparse Code Multiple Access (SCMA). In a typical PD-NOMA system, successive interference cancellation (SIC) is utilized at the receiver, which however may lead to error propagation. In comparison, message passing decoding is employed in SCMA. To attain the best error rate performance of PD-NOMA, we optimize the power allocation with the aid of pairwise error probability and then carry out the decoding using generalized sphere decoder (GSD). Our extensive simulation results show that SCMA system with “ <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$5\times 10$ </tex-math></inline-formula> ” setting (i.e., ten users communicate over five subcarriers, each active over two subcarriers) achieves better uncoded BER and coded BER performance than both typical “ <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1\times 2$ </tex-math></inline-formula> ” and “ <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2\times 4$ </tex-math></inline-formula> ” PD-NOMA systems in uplink Rayleigh fading channel. Finally, the impacts of channel estimation error on SCMA, SIC and GSD based PD-NOMA and the complexity of multiuser detection schemes are also discussed.

Highlights

  • T HE fifth-generation (5G) networks and beyond are experiencing a paradigm shift from human-centric data services to machine-centric ones [1], [2]

  • The comparison results reveal that sparse code multiple access (SCMA) achieves better gain in both uncoded and coded bit error rate (BER) performances, as well as in the presence of channel estimation errors compared to PD-Non-Orthogonal Multiple Access (NOMA)

  • We briefly summarize the contributions as follows: 1) We conduct the fair comparison between two distinct NOMA techniques, namely power-domain NOMA (PD-NOMA) and SCMA

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Summary

INTRODUCTION

T HE fifth-generation (5G) networks and beyond are experiencing a paradigm shift from human-centric data services to machine-centric ones [1], [2]. The first scheme of code domain NOMA is referred as low density signature (LDS) [12]. This technique is motivated by multi-carrier code division multiple access (MC-CDMA) by introducing spreading matrix. Unlike SIC based multiuser detection (MUD), SCMA carries out the decoding with the aid of message passing algorithm (MPA) by exploiting the sparse structure of SCMA codewords. This allows SCMA to achieve a near-optimal bit error rate (BER) performance as well as a reduced complexity (compared that of the maximumlikelihood receiver)

Literature
Motivation and contribution
Multi-user detection of SCMA system
PD-NOMA
RECEIVER DESIGN AND POWER ALLOCATION FOR PD-NOMA
Power allocation
Generalized sphere decoder
COMPARISONS OF SCMA AND PD-NOMA
Comparison of coded BER
Comparison of uncoded BER with channel estimation error
10-4 Normalized Complexity
Findings
CONCLUSION
Full Text
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