Journal of Advanced Research in Networking and Communication Engineering

Latency Reduction and Performance Optimization in Edge-Enabled Networks

Akansha Singh — 2026-02-18

The growing use of modern applications such as autonomous systems, augmented reality, smart healthcare, and industrial automation has created a strong demand for communication networks that can provide very fast response times and high performance. These applications need data to be processed almost instantly, with very little delay. However, traditional cloud-based systems often struggle to meet these needs because they depend on centralized data centers, where data must travel long distances. This can lead to delays, increased latency, and reduced efficiency. To overcome these challenges, edge-enabled networks have emerged as an effective solution. In this approach, computing resources are placed closer to the end users, allowing data to be processed locally instead of being sent to distant cloud servers. This helps reduce delays and improves overall network performance. This paper provides a detailed review of different methods used to reduce latency and improve performance in edge-enabled communication networks. It discusses the overall network architecture, important supporting technologies, and key techniques such as task offloading, efficient resource allocation, and intelligent routing. The study also includes a review of recent research in this field to understand current developments and trends. In addition, it highlights major challenges like scalability, security, and energy consumption that need to be addressed. Tables are included to compare different techniques and performance measures. Finally, the paper outlines future research directions that can help in developing more efficient, reliable, and scalable edge-based communication systems.

Edge-Enabled Communication Networks: Architecture, Challenges, and Applications for Low-Latency Systems

Ankit Sharma — 2026-02-28

The growing use of real-time applications such as autonomous vehicles, augmented reality, smart healthcare systems, and industrial automation has created significant challenges for traditional cloud-based communication networks. These applications require very fast data processing, minimal delay, high reliability, and efficient handling of large amounts of data. However, conventional centralized systems often struggle to meet these requirements because data has to travel to distant data centers, which can cause delays and reduce overall performance. To address these limitations, edge-enabled communication networks have emerged as an effective solution. In this approach, computing and storage resources are placed closer to end users, allowing data to be processed locally rather than being sent to centralized cloud servers. This helps in reducing latency, improving response time, and enhancing the overall efficiency of the network. This review paper provides a detailed overview of edge-enabled communication networks by examining their architecture, key technologies, practical applications, and the challenges involved in their implementation. It also explains how edge computing works together with advanced technologies such as 5G and future networks, Software-Defined Networking (SDN), Network Function Virtualization (NFV), and Artificial Intelligence (AI) to improve network performance. In addition, the paper discusses important issues like security, scalability, resource management, and interoperability that need to be addressed. Finally, it outlines future research directions that can help in developing communication systems that are more efficient, secure, and capable of supporting low-latency applications.

Towards 6G Networks: A Comprehensive Review of Enabling Technologies, Challenges, and Future Research Directions

Vineeta Sinha — 2026-03-27

The rapid evolution of wireless communication technologies has led to the emergence of sixth-generation (6G) networks, envisioned to surpass the capabilities of fifth-generation (5G) systems in terms of speed, latency, intelligence, and connectivity. This review paper provides a comprehensive analysis of 6G networks, focusing on enabling technologies, architectural innovations, key challenges, and future research directions. The study explores the integration of artificial intelligence, terahertz communication, quantum networking, intelligent surfaces, and advanced edge computing as foundational components of 6G systems. A systematic literature review is conducted to analyze recent advancements and identify research gaps. Furthermore, the paper highlights challenges related to spectrum utilization, security, energy efficiency, and standardization. The findings emphasize the need for interdisciplinary approaches and sustainable solutions to realize the full potential of 6G networks. This review serves as a valuable resource for researchers, engineers, and policymakers involved in next-generation communication systems.