Joint Time and Power Allocation Algorithm in NOMA Relaying Network

Joint Authors

Zhu, Qi
Zhao, Su
Mei, Chuan

Source

Mobile Information Systems

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-04-22

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Telecommunications Engineering

Abstract EN

Nonorthogonal multiple access (NOMA) is one of the promising access techniques in 5G network.

The application of relay in NOMA system is a hotspot in recent research.

NOMA-based cooperative relay network can achieve a higher spectral efficiency and a lower outage probability.

In this paper, we analyse the performance of the two-hop DF relay NOMA network scenario, where the number of cell edge users is more than the cell center user, and obtained the closed-form expression of the user's ergodic rates and outage probabilities under the high signal-to-noise (SNR) ratio.

Then, we establish an optimization model to maximize the system rates, and a joint optimal time and power allocation algorithm based on the exhaustive search and the binary algorithm is proposed.

Simulation results show that the proposed scheme can outperform exiting scheme in terms of achieving a higher ergodic sum rate, a lower outage probability under the premise of fairness.

American Psychological Association (APA)

Zhao, Su& Mei, Chuan& Zhu, Qi. 2019. Joint Time and Power Allocation Algorithm in NOMA Relaying Network. Mobile Information Systems،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1193883

Modern Language Association (MLA)

Zhao, Su…[et al.]. Joint Time and Power Allocation Algorithm in NOMA Relaying Network. Mobile Information Systems No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1193883

American Medical Association (AMA)

Zhao, Su& Mei, Chuan& Zhu, Qi. Joint Time and Power Allocation Algorithm in NOMA Relaying Network. Mobile Information Systems. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1193883

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1193883