JOURNAL OF COMMUNICATIONS AND NETWORKS
Scope & Guideline
Connecting Research and Practice in Communications Science
Introduction
Aims and Scopes
- Wireless and Mobile Communications:
Emphasizes the study of wireless communication systems, including the development of protocols, techniques, and technologies for mobile networks, particularly in the context of 5G and beyond. - Network Architecture and Design:
Explores architectural frameworks for communication networks, including aspects of network slicing, resource allocation, and the integration of emerging technologies such as software-defined networking. - Signal Processing and Coding Techniques:
Investigates advanced signal processing methods and coding strategies, particularly in relation to improving communication reliability, efficiency, and data throughput in various network environments. - Machine Learning and AI in Networking:
Focuses on the application of machine learning and artificial intelligence techniques to optimize network performance, enhance security, and enable intelligent resource management. - Internet of Things (IoT) and Edge Computing:
Addresses the challenges and solutions related to IoT systems, including data management, communication protocols, and the role of edge computing in processing and analyzing IoT data. - Security and Privacy in Communications:
Covers research on security protocols, privacy-preserving techniques, and the resilience of communication networks against various types of attacks.
Trending and Emerging
- 6G Technologies and Beyond:
An increasing number of papers are exploring the challenges and opportunities presented by the upcoming 6G networks, including new architectures, technologies, and applications. - Reconfigurable Intelligent Surfaces (RIS):
Research on RIS is gaining momentum as a transformative technology for enhancing wireless communication performance, enabling more efficient spectrum usage and improved signal quality. - Federated Learning and Edge Intelligence:
The application of federated learning in communication networks is emerging as a significant theme, focusing on privacy-preserving data processing and decentralized learning approaches. - Energy-Efficient Communication Solutions:
With growing concerns about sustainability, there is a notable trend towards developing energy-efficient communication protocols and architectures that minimize power consumption while maintaining performance. - Security in IoT and 5G Networks:
As the number of connected devices increases, research on security frameworks specifically designed for IoT and 5G networks is becoming increasingly important, addressing new vulnerabilities and threats.
Declining or Waning
- Traditional Network Management Techniques:
Research on conventional network management approaches has declined as newer, more adaptive methods utilizing AI and machine learning gain traction. - Legacy Communication Protocols:
Studies focused on older communication protocols are becoming less prominent, as researchers shift attention towards developing protocols tailored for the demands of 5G and beyond. - Static Resource Allocation:
The emphasis on static resource allocation methods is waning in favor of dynamic and context-aware resource management strategies that respond to real-time network conditions. - Basic Quality of Service Metrics:
Research concentrating solely on fundamental Quality of Service (QoS) metrics has decreased, with a growing interest in more comprehensive frameworks that account for user experience and application-level performance. - Single-Technology Solutions:
There is a noticeable reduction in studies advocating for single-technology solutions, as the trend shifts towards integrated systems that combine multiple technologies for enhanced performance.
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