China Communications

Scope & Guideline

Connecting Scholars to the Future of Information Technology

Introduction

Welcome to your portal for understanding China Communications, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN1673-5447
PublisherCHINA INST COMMUNICATIONS
Support Open AccessNo
CountryChina
TypeJournal
Convergefrom 2008 to 2024
AbbreviationCHINA COMMUN / China Commun.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressNO 13 WEST CHANG AN AVENUE, BEIJING 00000, PEOPLES R CHINA

Aims and Scopes

China Communications focuses on the latest advancements in the field of communication technologies, with a strong emphasis on innovative methodologies and applications that address the challenges and opportunities presented by emerging technologies.
  1. Wireless Communication Technologies:
    Research on various wireless communication technologies including mobile networks, satellite communications, and IoT, emphasizing novel approaches like NOMA, MIMO, and RIS to improve efficiency and security.
  2. Intelligent Systems and AI Integration:
    Exploration of artificial intelligence and machine learning techniques in communication systems, such as deep learning for signal detection, resource allocation, and optimization in various network scenarios.
  3. Security and Privacy:
    Focus on physical layer security, privacy-preserving protocols, and blockchain applications in communication networks, addressing vulnerabilities and enhancing data integrity.
  4. Network Management and Optimization:
    Studies on network resource allocation, traffic engineering, and optimization strategies in heterogeneous networks, including edge computing and mobile edge networks.
  5. Emerging Technologies and Standards:
    Investigation into the development and implementation of next-generation communication standards such as 6G, focusing on aspects like terahertz communications, integrated sensing, and cognitive radio.
Recent publications in China Communications indicate a clear trend towards innovative approaches and technologies that are shaping the future of communication. These emerging themes reflect the journal's commitment to addressing contemporary challenges and advancing the field.
  1. Cognitive and Intelligent Communications:
    There is a growing emphasis on cognitive communication systems that adapt to their environment, utilizing AI and machine learning to optimize performance and resource usage.
  2. Secure and Reliable Communications:
    Emerging research focuses on enhancing security through advanced techniques such as physical layer security, blockchain integration, and privacy-preserving methods in communication networks.
  3. Integration of Sensing and Communication:
    The convergence of sensing and communication technologies, particularly in the context of IoT and smart environments, is a trending area of research, emphasizing integrated systems for improved functionality.
  4. Edge Computing and Mobile Edge Networks:
    The rise of edge computing technologies is evident, with increasing studies on optimizing resource allocation and task offloading in mobile edge computing scenarios.
  5. Terahertz and Next-Generation Technologies:
    There is a significant interest in exploring terahertz communications and other next-generation technologies as foundational elements for 6G and beyond, reflecting the journal's forward-looking perspective.

Declining or Waning

As the field of communications evolves, certain themes that were once prominent in the journal's publications have seen a decline in focus. This may reflect shifts in research priorities or advancements in technology that render previous methodologies less relevant.
  1. Traditional Communication Models:
    Research on classical communication models, such as single-input single-output (SISO) systems, has diminished as the field shifts towards more complex and integrated systems like MIMO and NOMA.
  2. Basic Signal Processing Techniques:
    Studies centered on fundamental signal processing techniques are becoming less frequent, as the focus transitions towards advanced algorithms leveraging AI and machine learning.
  3. Legacy Security Protocols:
    Interest in older security protocols is waning, with more emphasis now placed on innovative, adaptive security measures utilizing blockchain and AI-driven strategies.
  4. Static Network Management Approaches:
    Static and manual network management techniques are being overshadowed by dynamic, AI-driven approaches that offer greater adaptability to changing network conditions.
  5. Conventional Routing Algorithms:
    The prevalence of traditional routing algorithms has decreased as researchers explore more sophisticated, adaptive methods that leverage real-time data and AI for improved performance.

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