INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Power Control in Device-to-Device Communication using Multilayer Perceptron based Neural Network
Authors Name:
Ankit Pandit
, Dr. Sanjeev Kumar Gupta
Unique Id:
IJSDR2307003
Published In:
Volume 8 Issue 7, July-2023
Abstract:
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.
Keywords:
ANN, BS, CUE, D2D, DUE, MLP, UE, etc.
Cite Article:
"Power Control in Device-to-Device Communication using Multilayer Perceptron based Neural Network", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 7, page no.11 - 19, July-2023, Available :http://www.ijsdr.org/papers/IJSDR2307003.pdf
Downloads:
000338536
Publication Details:
Published Paper ID: IJSDR2307003
Registration ID:207593
Published In: Volume 8 Issue 7, July-2023
DOI (Digital Object Identifier):
Page No: 11 - 19
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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