S Pratap Singh, Urvashi Chugh, Deepak Kumar Singh, Amit Kumar, Kanwar Preet Kaur, Nitin Rakesh, Ghanshyam Singh
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引用次数: 0
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 (Cora) and capacity under channel inversion with fixed rate (Ccifr) 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.
期刊介绍:
IET Communications covers the fundamental and generic research for a better understanding of communication technologies to harness the signals for better performing communication systems using various wired and/or wireless media. This Journal is particularly interested in research papers reporting novel solutions to the dominating problems of noise, interference, timing and errors for reduction systems deficiencies such as wasting scarce resources such as spectra, energy and bandwidth.
Topics include, but are not limited to:
Coding and Communication Theory;
Modulation and Signal Design;
Wired, Wireless and Optical Communication;
Communication System
Special Issues. Current Call for Papers:
Cognitive and AI-enabled Wireless and Mobile - https://digital-library.theiet.org/files/IET_COM_CFP_CAWM.pdf
UAV-Enabled Mobile Edge Computing - https://digital-library.theiet.org/files/IET_COM_CFP_UAV.pdf