On the BER performance of QoS-aware multi-user OWC uplink using mCAP-NOMA

Xu, Xuhui; Shen, Ming; Qiu, Yu; Meng, Yuwei; Chen, Jiemin; Zhu, Binbin; Wang, Zhan

doi:10.1007/s10043-023-00789-w

Opt Rev

2023

DOI: 10.1007/s10043-023-00789-w

|View full text |Cite

On the BER performance of QoS-aware multi-user OWC uplink using mCAP-NOMA

Xuhui Xu¹,

Ming Shen²,

Yu Qiu³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Efficient NOMA system: hybrid heuristic-based network parameter optimization for spectral and energy efficiency with QoS maximization

Devi,

Prabakaran

2023

Journal of Optical Communications

View full text Add to dashboard Cite

Due to its ability to boost the spectral efficiency of wireless communications systems, non-orthogonal multiple access (NOMA) has been deemed promising. NOMA retains the necessary effectiveness to enable 5G communication. The wireless network’s spectral efficiency and energy are reduced due to the limited spectrum and rising demands of users. Because of the mutual cross-tier interference that occurs in heterogeneous networks, NOMA presents brand-new technical difficulties in resource allocation. The use of non-orthogonal resources and spectrum sharing can cause interference that lowers the performance. Therefore, incorporating quality-of-service (QoS) into the design of a new NOMA model with improved bandwidth efficiency and energy efficiency (EE) is absolutely necessary. A deep learning strategy for maximizing the efficiency of spectrum and energy with QoS in NOMA is presented in this paper. In order to increase the efficiency of spectrum and energy with QoS in the NOMA system, an adaptive artificial rabbits Harris Hawks optimization (AARHHO) algorithm is developed to optimize parameters such as the time allocation ratio and beam forming vectors presented in the full-duplex (FD) relay and base station (BS). As a result, the NOMA network efficiency of bandwidth and energy is effectively maximized with QoS using the newly developed AARHHO approach.

show abstract

Efficient NOMA system: hybrid heuristic-based network parameter optimization for spectral and energy efficiency with QoS maximization

Devi,

Prabakaran

2023

Journal of Optical Communications

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

On the BER performance of QoS-aware multi-user OWC uplink using mCAP-NOMA

Cited by 1 publication

References 20 publications

Efficient NOMA system: hybrid heuristic-based network parameter optimization for spectral and energy efficiency with QoS maximization

Efficient NOMA system: hybrid heuristic-based network parameter optimization for spectral and energy efficiency with QoS maximization

Contact Info

Product

Resources

About