A Study of NOMA-SSK for Solving Similar Channel Gain Problem of NOMA Users 


Vol. 45,  No. 3, pp. 474-481, Mar.  2020
10.7840/kics.2020.45.3.474


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  Abstract

Non-orthogonal multiple access (NOMA) is a multiple access technology that allows simultaneous transmission of multiple-user signals through different power allocations based on channel gains. It is a promising technology that can improve spectral efficiency in 5G networks. Considering the channel gain varies influenced by the distance of users, the similar channel gains occur when the NOMA users have a similar distance. The similar channel gain of the users violates the NOMA principle, so NOMA cannot be used. To solve this issue, we propose a NOMA-SSK (NOMA-Space Shift Keying) that multiplexes users with similar channel gains into a spatial domain. The proposed scheme solves the problem of similar channel gain of NOMA by using the spatial domain and achieves higher spectral efficiency. In this paper, theoretical analysis and simulation of the spectral efficiency of NOMA-SSK are conducted that compares with existing NOMA-OMA (NOMA-Orthogonal Multiple Access), VP-NOMA (Virtual user Pairing-NOMA), and TS-NOMA (Time Sharing-NOMA). It demonstrates the performance gain of NOMA-SSK.

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  Cite this article

[IEEE Style]

J. O. Kim, D. K. Hendraningrat, S. Y. Shin, "A Study of NOMA-SSK for Solving Similar Channel Gain Problem of NOMA Users," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 3, pp. 474-481, 2020. DOI: 10.7840/kics.2020.45.3.474.

[ACM Style]

Jae Oh Kim, Denny Kusuma Hendraningrat, and Soo Young Shin. 2020. A Study of NOMA-SSK for Solving Similar Channel Gain Problem of NOMA Users. The Journal of Korean Institute of Communications and Information Sciences, 45, 3, (2020), 474-481. DOI: 10.7840/kics.2020.45.3.474.

[KICS Style]

Jae Oh Kim, Denny Kusuma Hendraningrat, Soo Young Shin, "A Study of NOMA-SSK for Solving Similar Channel Gain Problem of NOMA Users," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 3, pp. 474-481, 3. 2020. (https://doi.org/10.7840/kics.2020.45.3.474)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880