Advancements in 5G and 6G Technologies Shaping the Future of Global Connectivity and Communication

The evolution of wireless communication is poised for a major shift with the transition from 5G to 6G, a leap characterized by breakthroughs in speed, ultra-reliable low-latency communication, and AI-driven network optimization. This paper examines these advancements, focusing on sub-millisecond latency, terahertz spectrum utilization, and enhanced network capabilities tailored to industries such as smart infrastructure, healthcare, and autonomous vehicles. While 6G promises revolutionary improvements, it also presents new challenges, including increased computational complexity and energy demands, data privacy concerns, and efficient spectrum allocation. The proposed model aims to address these issues by integrating AI and machine learning for optimized resource management, resulting in a high-performance, cost-effective solution for real-time, data-intensive applications. To assess the model's effectiveness, comprehensive simulations and real-world trials will be conducted, measuring critical metrics such as network throughput, latency, reliability, and energy efficiency. This study offers an all-encompassing guide to understanding and harnessing the transformative potential of 6G technology, laying the groundwork for future wireless communication systems.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/icscna63714.2024.10864364
Citations
1
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.21
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article

Advancements in 5G and 6G Technologies Shaping the Future of Global Connectivity and Communication

Satti Sudha Mohan Reddy, Sunita Pachar, Lakshmi Narasimhan Srinivasagopalan, Rohidas Balu Sangore et al.
1 citations
Advanced MIMO Systems Optimization
0.21
article

Advancements in 5G and 6G Technologies Shaping the Future of Global Connectivity and Communication

Satti Sudha Mohan Reddy, Sunita Pachar, Lakshmi Narasimhan Srinivasagopalan, Rohidas Balu Sangore, Gouthami Kompally, Sivakoteswararao Katta
article en
1 citations

Abstract

The evolution of wireless communication is poised for a major shift with the transition from 5G to 6G, a leap characterized by breakthroughs in speed, ultra-reliable low-latency communication, and AI-driven network optimization. This paper examines these advancements, focusing on sub-millisecond latency, terahertz spectrum utilization, and enhanced network capabilities tailored to industries such as smart infrastructure, healthcare, and autonomous vehicles. While 6G promises revolutionary improvements, it also presents new challenges, including increased computational complexity and energy demands, data privacy concerns, and efficient spectrum allocation. The proposed model aims to address these issues by integrating AI and machine learning for optimized resource management, resulting in a high-performance, cost-effective solution for real-time, data-intensive applications. To assess the model's effectiveness, comprehensive simulations and real-world trials will be conducted, measuring critical metrics such as network throughput, latency, reliability, and energy efficiency. This study offers an all-encompassing guide to understanding and harnessing the transformative potential of 6G technology, laying the groundwork for future wireless communication systems.

MIT Art, Design and Technology University (IN), GLA University (IN)
Openalex Percentile: Top 44%
Advanced MIMO Systems Optimization
0.21
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