Abstract
This study focuses on the design of a MATLAB platform for non-orthogonal multiple access (NOMA) based systems with link-level and system-level analyses. Among the different potential candidates for 5G, NOMA is gaining considerable attention owing to the many-fold increase in spectral efficiency as compared to orthogonal multiple access (OMA). In this study, a NOMA simulator is presented for two and more than two users in a single cell for link-level analysis; whereas, for system-level analysis, seven cells and 19 cells scenarios were considered. Long-term evolution (LTE) was used as the baseline for the NOMA simulator, while bit error rate (BER), throughput and spectral efficiency are used as performance metrics to analyze the simulator performance. Moreover, we demonstrated the application of the NOMA simulator for different simulation scenarios through examples. In addition, the performance of multi-carrier NOMA (MC-NOMA) was evaluated in the presence of AWGN, impulse noise, and intercell interference. To circumvent channel impairments, channel coding with linear precoding is suggested to improve the BER performance of the system.
Highlights
Dependency on mobile wireless communication has increased at enormous rates over the past few decades
The proposed non-orthogonal multiple access (NOMA) link-level simulator employs convolutional code for channel coding. These codes have been standardized in Long-term evolution (LTE); for our simulator, we considered them with different coding rates
We presented the link-level and system-level simulators for superposition coding (SC) and MCNOMA which are believed to be promising candidates for 5G
Summary
Dependency on mobile wireless communication has increased at enormous rates over the past few decades. Multi-subchannel resource allocation was investigated in [7]; to maintain the low complex structure of NOMA and enhance energy efficiency The purpose of these techniques is to improve the resource allocation, SIC, and interference management process that provide significant gains in terms of bit error rate (BER), energy efficiency and signal detection probability at the receiving end. The presented simulator provides an environment to evaluate the performance using different metrics in addition to the spectral efficiency, e.g., uncoded bit error rate (BER), coded BER and throughput. The NOMA simulator is still not an open source because much work is in progress to upgrade, where the following versions comprise various factors such as mobility and massive MIMO setups This upgradation focuses on different power allocation schemes, channel models, interference cancellation techniques, and channel coding methods other than convolutional coding. It will be added to the version of the simulator
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