Performance Evaluation of Dual-Hop Decode and Forward Relaying over Rayleigh/Rician Fading Model for 5G and Beyond Communication Channels DOI

Laxmipriya Das,

Sujit Bebortta, Nikhil Kumar Rajput

et al.

Published: March 1, 2024

The emergence of fifth-generation (5G) and beyond (B5G) communication paradigms has enabled large-scale utilization the available spectrum. enhancement 5G-enabled devices requires reliable latency-sensitive communications. These requirements have emphasized efficacy fading models in evaluating performance underlying 5G channels. study examines outage probability (OP) concert to dual-hop relaying using decode-and-forward (DaF) method by employing a mixture Rayleigh Rician models. cooperative model used this paper comprises three parts: 'Source', 'Relay', 'Destination'. suggests that source-relay (S-R) relay-destination (R-D) channels go through respective fading. A precise computation for OP is obtained, an illustration provided DaF schemes. Moreover, finding verifies system performs better Rayleigh/Rician (S-R link / R-D link) scenario than Rician/Rician model.

Language: Английский

A Review on QoS Aware Approaches in Edge-Fog Computing Environment DOI

Margi Patel,

Nitin Rathore,

Ramesh R. Naik

et al.

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 425 - 434

Published: Jan. 1, 2025

Language: Английский

Citations

0
An empirical IoT and cloud-based customizable healthcare surveillance system DOI

Subhash Meti,

S. Razauddin,

R. Nallakumar

et al.

International Journal of Information Technology, Journal Year: 2024, Volume and Issue: 16(8), P. 5317 - 5323

Published: May 30, 2024

Language: Английский

Citations

3
Cost-Aware Computation Offloading for Managing Cloud-Bursts in IoT-Based Cloud-Fog Networks DOI
Sujit Bebortta, Om Pal, Dilip Senapati

et al.

Published: March 1, 2024

The concept of cloud bursting is a method used in mixed-hybrid computing environments the context service outages. When massive amount workload hits servers at once, it leverages public resources through outsourcing to assist private users. idea fog can be easily leveraged include processing several small workloads from Internet Things (IoT)-connected systems. We suggest using more local resources, like servers, for these tasks real-time. Our carefully balances real-time limits with higher data transfer delays and extra costs services by formulating difference equation obtain steady-state solutions our proposed framework. offloading rule checks many system metrics select optimal resources. It focused on resource execute compared them servers. check method, considering varying task sizes both framework, which includes waiting time queuing based M/M/1 approach, offers dynamic cost-aware selection remove IoT systems that connect cloud-fog networks. approach was observed manage well improve substantially.

Language: Английский

Citations

1
A Deep Learning Approach for Twitter Sentiment Analysis using ULM-SVM DOI

L. Sudha Rani,

S. Zahoor-Ul-Huq,

C. Shoba Bindu

et al.

2022 9th International Conference on Computing for Sustainable Global Development (INDIACom), Journal Year: 2024, Volume and Issue: unknown, P. 1639 - 1643

Published: Feb. 28, 2024

Through Twitter sentiment Analysis, users can easily determine the quality of their products and services. These tools are very useful in identifying monitoring various factors that affect these services products. The classification accuracy is dependent on input features techniques used. Unfortunately, time constraints associated with implementing machine learning prevent many organizations from achieving goals. Deep used applications, such as analysis, to extract information large amounts data. goal this study develop a new method for analyzing uses deep techniques. This combines ULM-SVM. proposed employs analyze sentiment, which seeks identify users' sentiments toward particular based posts. evaluation model across three datasets revealed its exceptional performance, an 98.7% detecting dataset.

Language: Английский

Citations

0
Performance Evaluation of Dual-Hop Decode and Forward Relaying over Rayleigh/Rician Fading Model for 5G and Beyond Communication Channels DOI

Laxmipriya Das,

Sujit Bebortta, Nikhil Kumar Rajput

et al.

Published: March 1, 2024

The emergence of fifth-generation (5G) and beyond (B5G) communication paradigms has enabled large-scale utilization the available spectrum. enhancement 5G-enabled devices requires reliable latency-sensitive communications. These requirements have emphasized efficacy fading models in evaluating performance underlying 5G channels. study examines outage probability (OP) concert to dual-hop relaying using decode-and-forward (DaF) method by employing a mixture Rayleigh Rician models. cooperative model used this paper comprises three parts: 'Source', 'Relay', 'Destination'. suggests that source-relay (S-R) relay-destination (R-D) channels go through respective fading. A precise computation for OP is obtained, an illustration provided DaF schemes. Moreover, finding verifies system performs better Rayleigh/Rician (S-R link / R-D link) scenario than Rician/Rician model.

Language: Английский

Citations

0