Abstract

Massive machine type communications (mMTC) are one of the critical requirements for beyond fifth generation (B5G) communication systems. Services for a huge number of user terminals should be provided simultaneously due to the explosive development of mMTC. It is proved that non-orthogonal multiple access (NOMA) is effective in satisfying such a requirement. In this paper we evaluate the impacts of numerous factors, such as channel encoding, channel decoding, repetition number, multi-user detector, and number of receiver antennas, on the performance of NOMA. It is surprised to find that some conclusions drawn from orthogonal multiple access system may do not hold anymore for NOMA systems. The factors which have significant impact on the performance of NOMA should be paid more attention to in the system design. The analysis and evaluation results shine more light on how to design an effect NOMA scheme by considering both transmitter and receiver to fulfill the requirements of mMTC for B5G systems.

Highlights

  • Wireless communication greatly enrich people’s work and life

  • We show the effect of repetition number on the performance of non-orthogonal multiple access (NOMA) and the effectiveness of repetition number on accommodating a large number of user equipment (UE)

  • We show the performance of Maximum ratio combining (MRC) and minimum mean square error (MMSE) for NOMA

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Summary

INTRODUCTION

Wireless communication greatly enrich people’s work and life. The main target of third generation wireless communication and fourth generation (4G) wireless communication systems is communication for human beings. In this paper we evaluate the impacts of channel encoding, channel decoding, and many other factors on the performance of NOMA. For OMA systems, when LDPC is superior to CC in low SNR regions, we think LDPC is preferred While such a conclusion is invalid for NOMA systems when iterative detection is applied. Moderate BER regions may be more important than that of low BER regions, we will verify this conclusion in the performance evaluation section. The small difference of the channel decoder will have a significant impact on the performance of NOMA systems. We compare the performances of the NOMA scheme with different channel decoders, which will shine a light on the NOMA receiver design. Multi-user detection are employed in NOMA to combine the same user’s signals on different receiver antennas.

NOMA TRANSMISSION SCHEME AND SYSTEM MODEL
FACTORS AFFECTING PERFORMANCE OF NOMA SYSTEMS
Types of Channel Encoding
Types of Channel Decoding
Multi-User Detection Scheme
Repetition Number
Number of Receiver Antennas
PERFORMANCE EVALUATION
CONCLUSION
Findings
DATA AVAILABILITY STATEMENT
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