TY - GEN
T1 - On the Performance of Downlink NOMA Systems over Hyper-Rayleigh Fading Channels
AU - Al-Jarrah, M.
AU - Aldweik, A.
AU - Alsusa, E.
N1 - Funding Information:
This work was supported in part by the KU Center for Cyber Physical Systems, in part by the European Union’s Horizon 2020 Research and Innovation Programme through the Marie Sklodowska-Curie under Grant 812991, and in part by the Natural Sciences and Engineering Research Council of Canada (NSERC) through its Discovery Program.
Publisher Copyright:
© 2020 IEEE
PY - 2021/3/16
Y1 - 2021/3/16
N2 - This paper presents the bit error rate (BER) evaluation of downlink power-domain nonorthogonal multiple access (NOMA) systems in hyper-Rayleigh fading channels. Hyper-Rayleigh models perfectly captures the fading scenarios in which few number of strong components dominate the received signal strength. In addition, the order statistics model is applied to capture the difference in distance between the basestation and users. The transmitted signals of all users are modulated using phase shift keying (PSK), and then multiplexed at the basestation using power-domain NOMA. The well-known successive interference cancellation (SIC) detection is applied at the receivers’ side to recover the information signals. Because hyper-Rayleigh models do not generally have closed form expressions, and due to the randomly located discontinuity in the amplitude probability density function (PDF), Monte Carlo simulation is used to evaluate the BER where 107 symbols are generated per simulation run. The obtained results show that hyper-Rayleigh fading may severely degrade the system BER at high signal-to-noise ratios (SNRs) as compared to Rayleigh channels. However, the Rayleigh fading seems to cause higher BERs at low SNRs.
AB - This paper presents the bit error rate (BER) evaluation of downlink power-domain nonorthogonal multiple access (NOMA) systems in hyper-Rayleigh fading channels. Hyper-Rayleigh models perfectly captures the fading scenarios in which few number of strong components dominate the received signal strength. In addition, the order statistics model is applied to capture the difference in distance between the basestation and users. The transmitted signals of all users are modulated using phase shift keying (PSK), and then multiplexed at the basestation using power-domain NOMA. The well-known successive interference cancellation (SIC) detection is applied at the receivers’ side to recover the information signals. Because hyper-Rayleigh models do not generally have closed form expressions, and due to the randomly located discontinuity in the amplitude probability density function (PDF), Monte Carlo simulation is used to evaluate the BER where 107 symbols are generated per simulation run. The obtained results show that hyper-Rayleigh fading may severely degrade the system BER at high signal-to-noise ratios (SNRs) as compared to Rayleigh channels. However, the Rayleigh fading seems to cause higher BERs at low SNRs.
UR - http://www.scopus.com/inward/record.url?scp=85125017369&partnerID=8YFLogxK
U2 - 10.1109/ICCSPA49915.2021.9385763
DO - 10.1109/ICCSPA49915.2021.9385763
M3 - Conference contribution
AN - SCOPUS:85125017369
T3 - ICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications
BT - ICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Communications, Signal Processing, and their Applications, ICCSPA 2020
Y2 - 16 March 2021 through 18 March 2021
ER -