Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. An Optimization Perspective of the Superiority of NOMA Compared to Conventional OMA

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
English
2017

An Optimization Perspective of the Superiority of NOMA Compared to Conventional OMA

0 Datasets

0 Files

English
2017
IEEE Transactions on Signal Processing
Vol 65 (19)
DOI: 10.1109/tsp.2017.2725223

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Rui Zhang
Rui Zhang

The Chinese University of Hong Kong

Verified
Zhiyong Chen
Zhiguo Ding
Xuchu Dai
+1 more

Abstract

Existing work regarding the performance comparison between nonorthogonal multiple access (NOMA) and orthogonal multiple access (OMA) can be generally divided into two categories. The work in the first category aims to develop analytical results for the comparison, often with fixed system parameters. The work in the second category aims to propose efficient algorithms for optimizing these parameters, and compares NOMA with OMA by computer simulations. However, when these parameters are optimized, the theoretical superiority of NOMA over OMA is still not clear. Therefore, in this paper, the theoretical performance comparison between NOMA and conventional OMA systems is investigated, from an optimization point of view. First, sum rate maximizing problems considering user fairness in both NOMA and various OMA systems are formulated. Then, by using the method of power splitting, a closed-form expression for the optimum sum rate of NOMA systems is derived. Moreover, the fact that NOMA can always outperform any conventional OMA systems, when both are equipped with the optimum resource allocation policies, is validated with rigorous mathematical proofs. Finally, computer simulations are conducted to validate the correctness of the analytical results.

How to cite this publication

Zhiyong Chen, Zhiguo Ding, Xuchu Dai, Rui Zhang (2017). An Optimization Perspective of the Superiority of NOMA Compared to Conventional OMA. IEEE Transactions on Signal Processing, 65(19), pp. 5191-5202, DOI: 10.1109/tsp.2017.2725223.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2017

Authors

4

Datasets

0

Total Files

0

Language

English

Journal

IEEE Transactions on Signal Processing

DOI

10.1109/tsp.2017.2725223

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access