Power Control in Device-to-Device Communication using Multilayer Perceptron based Neural Network

Ankit Pandit , Dr. Sanjeev Kumar Gupta

ANN, BS, CUE, D2D, DUE, MLP, UE, etc.

Device-to-Device (D2D) communication has sparked attention as a possible technology for next-generation wireless networks since it enables the use of point-to-point communications between User Equipment (UE) without passing via base stations (BS). Device-to-device (D2D) communication has been proposed as a supplemental paradigm in cellular networks to primarily boost network connectivity. This study considers a cellular network where users attempt device-to-device (D2D) connections. A D2D pair is made up of two DUEs, a transmitter, and a receiver. To increase spectral efficiency, we assume that D2D pairings only use one communication channel. A power control is necessary to reduce interference between D2D pairs and boost capacity. We address the issue of D2D power regulation in the case where only typical cellular channel gains between base stations and DUEs are available and channel gains among DUEs are entirely unreachable. We determine the transmission power for each individual D2D pair using an artificial neural network (ANN). We show that employing cellular channel gains, the maximum aggregate capacity for D2D pairs may be obtained while anticipating the transmission power setting for D2D pairs.

Published Paper   E-Certificate

"Power Control in Device-to-Device Communication using Multilayer Perceptron based Neural Network", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 7, page no.11 - 19, July-2023, Available :https://ijsdr.org/papers/IJSDR2307003.pdf

Volume 8 Issue 7, July-2023

Pages : 11 - 19

Paper Reg. ID: IJSDR_207593

Published Paper Id: IJSDR2307003

Downloads: 000347196

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2307003

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2307003

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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