NOMA Power Allocation for Minimizing System Outage under Rayleigh Fading Channel

Omer Faruk Gemici, Ibrahim Hokelek, Hakan Ali Cirpan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

With the proliferation of the delay sensitive applications and services in cellular networks, the outage probability becomes an important metric that should be minimized to support the low latency requirement of the 5G network. In this paper, the analytical model is proposed to calculate the system outage probability as a closed form expression under the Rayleigh fading channel for the NOMA downlink system. We utilize the model to obtain the optimum power allocation that minimizes the system outage probability as a closed form expression. The accuracy of the proposed analytical model and optimum power allocation is validated by the Monte Carlo simulations. The numerical results show that the outage probability depends on the power allocation and the outage probability of OMA with the fractional power allocation is lower than NOMA with the optimum power allocation. The results indicate that the trade-off between the outage and spectral efficiency in NOMA should be carefully controlled to meet higher throughput and lower latency objectives of 5G.

Original languageEnglish
Title of host publication2019 IEEE 40th Sarnoff Symposium, Sarnoff 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728124872
DOIs
Publication statusPublished - Sept 2019
Event40th IEEE Sarnoff Symposium, Sarnoff 2019 - Newark, United States
Duration: 23 Sept 201924 Sept 2019

Publication series

Name2019 IEEE 40th Sarnoff Symposium, Sarnoff 2019

Conference

Conference40th IEEE Sarnoff Symposium, Sarnoff 2019
Country/TerritoryUnited States
CityNewark
Period23/09/1924/09/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Fingerprint

Dive into the research topics of 'NOMA Power Allocation for Minimizing System Outage under Rayleigh Fading Channel'. Together they form a unique fingerprint.

Cite this