Incremental Relaying with Partial Relay Selection for Enhancing the Performance of Underlay Cognitive NOMA Networks

Authors

Keywords:

cognitive NOMA, outage probability, system outage probability, system throughput, partial relay selection, incremental relaying

Abstract

In this paper, we consider an underlay cognitive non-orthogonal multiple access (CNOMA) network, where incremental relaying with partial relay selection (PRS) scheme (i.e., IRP scheme) is proposed for the secondary network. We derive analytical expressions for the outage probabilities of the secondary users (SUs) and the system throughput of the IRP-CNOMA network. The proposed approach is compared to conventional cooperative relaying-based CNOMA (CR-CNOMA) networks with PRS scheme (i.e., CRP-CNOMA) and random relay selection (RRS) scheme. The results show that the proposed scheme significantly lowers the outage probability of the SUs while improving the system throughput.

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Author Biographies

Archana P, National Institute of Technology, Puducherry

 Archana P. (Graduate Student Member, IEEE) received the B.E. degree in Electronics and Communication Engineering and the M.E. Degree in Embedded Systems Technologies from Anna university, Chennai, India, in 2014 and 2016, respectively. She is currently working towards the Ph.D. degree in Electronics and Communication Department, National Institute of Technology Puducherry, India. Her current research focuses on nonorthogonal multiple access-based 5G and beyond as well as Cognitive radio. 

Harigovindan V P, National Institute of Technology, Puducherry

Harigovindan V P  (Senior Member, IEEE) received the Bachelor of Technology degree in Electronics and Communication Engineering from University of Calicut, the Master of Technology degree in Digital Electronics and Communication Systems from Visvesvaraya Technological University with First Rank, and the Ph.D. degree from the National Institute of Technology Calicut, in 2013. He is currently working as Associate Professor and Head, with the Department of Electronics and Communication Engineering, National Institute of Technology Puducherry (under the Ministry of Education, Government
of India). He has more than 50 international publications to his credit. He served as the Principal Investigator for three funded projects, each from the Department of Science and Technology, Government of India, Science and Engineering Research Board and Microsoft AI for Earth. Presently, he is serving as the PI of a project funded by DST - Science for Equity, Empowerment and Development, Govt. of India. He has 4 patents granted to his credit. His research interests include smart aquaculture, wireless networks and wireless communications.

Griffith Faustina G, National Institute of Technology, Puducherry

 Griffith Faustina G   holds a Bachelor's degree in Electronics and Communication Engineering from SASTRA deemed to be University. She holds a Master's degree in VLSI Design in the Department of Electronics and Communication Engineering from National Institute of Technology Puducherry. Her research interests include Wireless Communications, NOMA for 5G and beyond and Cognitive Radio.

Babu A V, National Institute of Technology, Calicut

Babu A. V. (Senior Member, IEEE) received the Master of Engineering degree in telecommunication from the Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India, in 2002 and the Ph.D. degree from the Department of Electronics and Communication Engineering, National Institute of Technology Calicut, Kozhikode, India, in 2008. He is currently a Professor with National Institute of Technology Calicut. He has authored or coauthored more than 75 papers in reputed international journals and conferences. His primary research focuses on wireless networks and the current research focuses on resource allocation for NOMA based 5G wireless networks. 

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Published

2024-06-16

How to Cite

P, A., V P, H. ., G, . G. F. ., & A V, B. (2024). Incremental Relaying with Partial Relay Selection for Enhancing the Performance of Underlay Cognitive NOMA Networks. IEEE Latin America Transactions, 22(7), 548–556. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/8795

Issue

Vol. 22 No. 7 (2024): Ordinary Issue

Section

Computing