Analysis And Performance Evaluation Of Device-To-Device Communication Using Multiple Input Multiple Output Technology

Device-to-Device (D2D) communications is a term used to describe the technology that allows two devices to communicate with each other directly without using the Base Transceiver Station (BTS) or indirectly with the BTS. Device-to-device (D2D) communication plays a very significant role in the traditional cellular networks as it promises ultra-low latency for communication among users. Device-to-Device emerged as the key technology advances in mobile wireless communications. This paper analysed the performance metrics, using Multiple Input Multiple Output (MIMO) techniques for enhancing signal transmission in (D2D) communication. The system parameters Signal-to-Noise Ratio (SNR), Interference-to-Signal Ratio (ISR), Received Signal Strength Indicator (RSSI), distance and Capacity were analysed; using MIMO technique and comparing the signal flow across the different signal interference and probation delay. MATLAB/SIMULINK is used in simulating the different parameters in comparing the performances of the network. The MIMO technique enhances to a greater degree the signal propagation and path strength improvement over other traditional systems techniques, as a result of multi-path signal navigation improves signal reliability across paths with better fidelity. In the simulation results, increasing the number of antennas at the transmitter and the receiver end gave spatial diversity gain. Which results in a simultaneous increase in signal strength at the transmitter and receiver with a decrease in communicated interference.

Authors

Institutions

Publication Details

Journal
Global Journal of Pure and Applied Science
Published
2025-04-23
DOI
https://doi.org/10.4314/gjpas.v31i3.10
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis And Performance Evaluation Of Device-To-Device Communication Using Multiple Input Multiple Output Technology

Ogri James Ushie, Eleng Ekoro Edu, Peter O. Ohiero, G A Fischer
Global Journal of Pure and Applied Science
IoT and Edge/Fog Computing
article

Analysis And Performance Evaluation Of Device-To-Device Communication Using Multiple Input Multiple Output Technology

Ogri James Ushie, Eleng Ekoro Edu, Peter O. Ohiero, G A Fischer
article en

Abstract

Device-to-Device (D2D) communications is a term used to describe the technology that allows two devices to communicate with each other directly without using the Base Transceiver Station (BTS) or indirectly with the BTS. Device-to-device (D2D) communication plays a very significant role in the traditional cellular networks as it promises ultra-low latency for communication among users. Device-to-Device emerged as the key technology advances in mobile wireless communications. This paper analysed the performance metrics, using Multiple Input Multiple Output (MIMO) techniques for enhancing signal transmission in (D2D) communication. The system parameters Signal-to-Noise Ratio (SNR), Interference-to-Signal Ratio (ISR), Received Signal Strength Indicator (RSSI), distance and Capacity were analysed; using MIMO technique and comparing the signal flow across the different signal interference and probation delay. MATLAB/SIMULINK is used in simulating the different parameters in comparing the performances of the network. The MIMO technique enhances to a greater degree the signal propagation and path strength improvement over other traditional systems techniques, as a result of multi-path signal navigation improves signal reliability across paths with better fidelity. In the simulation results, increasing the number of antennas at the transmitter and the receiver end gave spatial diversity gain. Which results in a simultaneous increase in signal strength at the transmitter and receiver with a decrease in communicated interference.

Global Journal of Pure and Applied ScienceVol. 31(3)
University of Cross River State (NG)
Openalex Percentile: Top 91%
IoT and Edge/Fog Computing
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.