Abstract
Considering the performance of the sparse code multiple access (SCMA) network as an effective technique to improve spectral efficiency is essential when the signal to noise ratios (SNRs) of users are entirely different, e.g., in random wireless networks. Hence in this paper, symbol error rate (SER) performance is analyzed where the users are randomly distributed in a circular cell. For this purpose, the analytical expression is derived by joint maximum likelihood (ML) receiver with the help of stochastic geometry tools. Then, an upper-bound approximation of SER is extracted to provide useful insight into the network performance. Analytical and simulation results demonstrate the accuracy of our approach. The results show that increasing the number of users with a fixed-overloading factor improves the network performance, while the path-loss exponent decreases the coding gain.
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