Performance analysis of electromagnetic nano‐communication with interference over dual selection combining diversity technique

Abstract A novel frequency regime of the spectrum from 0.1 to 10 THz enables an emerging paradigm of modern wireless communication referred as 6G communication networks. However, to assure the success of 6G communication networks, ever‐growing development and deployment of nano‐machines, leading to ultra‐dense nano‐network, is witnessed. Nevertheless, the potential feature analysis of such ultra‐dense nano‐network in the presence of interference limited scenarios, by virtue of ultra‐dense deployment of nano‐machines, under the performance improvement techniques is missing from the reported literatures. Therefore, in this article, several performance metrics for an ultra‐dense nano‐network under the selection combining (SC) diversity technique is presented. The analytical expressions for error rates of different modulation schemes such as BPSK/BFSK, DPSK/ NFSK, Q‐PSK and M‐QAM under SC diversity technique for the considered nano‐network in the presence of interference limited ecosystems are presented. In addition, analytical expressions of capacity under constant power with optimal rate adaptation (C ora ) and capacity under channel inversion with fixed rate (C cifr ) are explored. It is worthy to mention that the proposed analytical expressions are generic in nature for the considered scenarios, in which severity and shaping parameters in both the multipath fading and shadowing are included. Numerically simulated results support mathematical formulation.

Authors

Institutions

Publication Details

Journal
IET Communications
Published
2024-11-27
DOI
https://doi.org/10.1049/cmu2.12862
Citations
1
Primary Topic
Molecular Communication and Nanonetworks
Type
article
Field-Weighted Citation Impact
0.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance analysis of electromagnetic nano‐communication with interference over dual selection combining diversity technique

Kanwar Preet Kaur, Amit Kumar, Urvashi Chugh, Deepak Kumar Singh et al.
1 citations
IET Communications
Molecular Communication and Nanonetworks
0.18
article

Performance analysis of electromagnetic nano‐communication with interference over dual selection combining diversity technique

Kanwar Preet Kaur, Amit Kumar, Urvashi Chugh, Deepak Kumar Singh, Ghanshyam Singh, S. Pratap Singh, Nitin Rakesh
article en
1 citations

Abstract

Abstract A novel frequency regime of the spectrum from 0.1 to 10 THz enables an emerging paradigm of modern wireless communication referred as 6G communication networks. However, to assure the success of 6G communication networks, ever‐growing development and deployment of nano‐machines, leading to ultra‐dense nano‐network, is witnessed. Nevertheless, the potential feature analysis of such ultra‐dense nano‐network in the presence of interference limited scenarios, by virtue of ultra‐dense deployment of nano‐machines, under the performance improvement techniques is missing from the reported literatures. Therefore, in this article, several performance metrics for an ultra‐dense nano‐network under the selection combining (SC) diversity technique is presented. The analytical expressions for error rates of different modulation schemes such as BPSK/BFSK, DPSK/ NFSK, Q‐PSK and M‐QAM under SC diversity technique for the considered nano‐network in the presence of interference limited ecosystems are presented. In addition, analytical expressions of capacity under constant power with optimal rate adaptation (C ora ) and capacity under channel inversion with fixed rate (C cifr ) are explored. It is worthy to mention that the proposed analytical expressions are generic in nature for the considered scenarios, in which severity and shaping parameters in both the multipath fading and shadowing are included. Numerically simulated results support mathematical formulation.

IET CommunicationsVol. 18(20)
Chandigarh University (IN), Thapar Institute of Engineering & Technology (IN), University of Johannesburg (ZA), CT Group Of Institutions (IN), Sharda University (IN)
Life in Land
Openalex Percentile: Top 50%
Molecular Communication and Nanonetworks
0.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.