BER performance in NOMA downlink transmission using AWGN, Rayleigh, and Rician fading channels

Dublin Core

Title

BER performance in NOMA downlink transmission using AWGN, Rayleigh, and Rician fading channels

Subject

Additive white gaussian noise Bit error rate
Fifth generation
Non-orthogonal multiple access
Signal-to-noise ratio
Successive interference cancellation

Description

5G wireless technology is accessible to a much larger user base compared to previous cellular networks. Users can connect to base stations (BSs) in a variety of methods, including of frequency division multiplexing (FDM), orthogonal frequency division multiplexing (OFDM), orthogonal multiple access (OMA), and non-orthogonal multiple access (NOMA). NOMA is considered to be the best one for 5G. Additionally, NOMA employs radio resource optimization and interference control techniques to enhance spectrum network efficiency and support extremely large connections, such as successive interference cancellation (SIC). Users can be divided into two categories: strong and weak. While weak users may experience a low data rate, strong users need a high one. In this paper, we examine the two users in relation to transmit power, the indicative bit error rate (BER), outage probability (OP), and rate attainable capacity using additive white gaussian noise (AWGN) channel. Moreover, we compare the BER and signal-to-noise ratio (SNR) per bit for two users, showing that the Rician fading channel performs better than the Rayleigh fading channel. The use of NOMA technology is the optimal choice and indicates an improvement in the precision of data transmission within the communication system, particularly in the presence of noise and interference.

Creator

Abdelbari Falloun, Abdessalam Ait Madi

Source

Journal homepage: http://telkomnika.uad.ac.id

Date

Nov 16, 2024

Contributor

PERI IRAWAN

Format

PDF

Language

ENGLISH

Type

TEXT

Files

Collection

Citation

Abdelbari Falloun, Abdessalam Ait Madi, “BER performance in NOMA downlink transmission using AWGN, Rayleigh, and Rician fading channels,” Repository Horizon University Indonesia, accessed January 12, 2026, https://repository.horizon.ac.id/items/show/9946.