Please use this identifier to cite or link to this item:
https://dspace.iiti.ac.in/handle/123456789/13514
Title: | Ergodic Capacity Analysis of Backscatter Based CDRT-NOMA Systems |
Authors: | Bisen, Shubham Bhatia, Vimal |
Keywords: | backscatter communication;energy harvesting;Ergodic capacity;NOMA |
Issue Date: | 2024 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Citation: | Bisen, S., & Bhatia, V. (2024). Ergodic Capacity Analysis of Backscatter Based CDRT-NOMA Systems. 2024 16th International Conference on COMmunication Systems and NETworkS, COMSNETS 2024. Scopus. https://doi.org/10.1109/COMSNETS59351.2024.10427254 |
Abstract: | Backscatter communication and non-orthogonal multiple access (NOMA) are emerging paradigms in wireless communication that offer promising solutions to enhance the spectral efficiency and energy efficiency of energy-constrained devices for 6G and beyond networks. This work introduces a coordinated direct and relay transmission system that leverages NOMA principles and incorporates a backscatter relay. The backscatter relay operates in hybrid mode and incorporates active information reception, passive information transmission through backscatter, and energy harvesting. The poster explores and analyzes the ergodic capacity of backscatter-based NOMA systems, shedding light on the average data rate achievable across diverse and changing conditions. The performance gain of the considered system is observed over the orthogonal multiple access. Finally, the Monte Carlo simulations are employed to validate the accuracy of the theoretical analysis. © 2024 IEEE. |
URI: | https://doi.org/10.1109/COMSNETS59351.2024.10427254 https://dspace.iiti.ac.in/handle/123456789/13514 |
ISBN: | 979-8350383119 |
Type of Material: | Conference Paper |
Appears in Collections: | Department of Electrical Engineering |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
Altmetric Badge: