SSC NOMA Capacity:Zero Capacity Bit to Symbol Mappingover Gaussian Mixture Channel 


Vol. 44,  No. 6, pp. 1076-1079, Jun.  2019
10.7840/kics.2019.44.6.1076


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  Abstract

Recently, the symmetric superposition coding (SSC) is proposed for a solution for the error propagation (EP) due to the non-perfect successive interference cancellation (SIC) in non-orthogonal multiple access (NOMA). This paper calculates the channel capacity of NOMA with the SSC. First, we prove that the channel capacity of the strong channel user in the SSC NOMA is zero, if the perfect SIC is assumed. However, it is shown that if this zero capacity bit to symbol mapping is sent over Gaussian mixture channel, the SSC NOMA capacity is greater than that of NOMA with the normal superposition coding (NSC) for the power allocation factor greater than about 20 % or less than about 80 %. We also show that the capacityof the SSC NOMA is the same as that of the NSC NOMA for the power allocation factor less than about 20 %, and the SSC NOMA capacity is worse than the NSC NOMA capacity for the power allocation factor greater than about 80 %. As a result, the SSC should be used to take into account the power allocation.

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  Cite this article

[IEEE Style]

K. Chung, "SSC NOMA Capacity:Zero Capacity Bit to Symbol Mappingover Gaussian Mixture Channel," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 6, pp. 1076-1079, 2019. DOI: 10.7840/kics.2019.44.6.1076.

[ACM Style]

Kyuhyuk Chung. 2019. SSC NOMA Capacity:Zero Capacity Bit to Symbol Mappingover Gaussian Mixture Channel. The Journal of Korean Institute of Communications and Information Sciences, 44, 6, (2019), 1076-1079. DOI: 10.7840/kics.2019.44.6.1076.

[KICS Style]

Kyuhyuk Chung, "SSC NOMA Capacity:Zero Capacity Bit to Symbol Mappingover Gaussian Mixture Channel," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 6, pp. 1076-1079, 6. 2019. (https://doi.org/10.7840/kics.2019.44.6.1076)