[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.7236/IJASC.2022.11.3.17

BER Performance Comparison for Intelligent Reflecting Surface in NOMA: Phase Shifts Perspective

Chung, Kyuhyuk (Department of Software Science, Dankook University)

Publication Information

International journal of advanced smart convergence / v.11, no.3, 2022 , pp. 17-22 More about this Journal

Abstract

As the sixth generation (6G) promising technique, intelligent reflecting surface (IRS) has recently attracted much attention. The IRS based wireless communication is expected to deploy the upcoming 6G mobile networks, to increase energy and spectrum efficiency in the fifth generation (5G) wireless networks. In this paper, we compare the bit-error rate (BER) performances for phase-shift schemes of IRS non-orthogonal multiple access (NOMA). First, we derive a BER expression for the equalizing phase-shift scheme in IRS-NOMA networks. Then we compare the BER of the equalizing phase-shift scheme to that of the identical phase-shift scheme in IRS-NOMA networks, and show the BER improvement of the equalizing phase-shift scheme IRS NOMA over the identical phase-shift scheme IRS NOMA. Furthermore, we also validate the proposed analytical BER for the equalizing phase-shift scheme in IRS-NOMA by Monte Carlo simulations, and demonstrate that they well match each other.

Keywords

6G; Intelligent reflecting surface; NOMA; 5G; Power allocation;

Citations & Related Records

Times Cited By KSCI : 2 (Citation Analysis)

Reference
Cited By KSCI

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