Journal Information
China Communications
Impact Factor:
China Communications Magazine, Co., Ltd.

Call For Papers
China Communications is a technical journal published by China Institute of Communications with the objective of providing a global academic exchange platform involved in information and communications technologies (ICTs) sector.

China Communications is open to the whole world with the purpose of achieving an open forum for discussing and sharing information on communications to contribute to the communications industry both in China and the world.

China Communications has been included in the THOMSON REUTERS MASTER JOURNAL LIST (formerly known as ISI "Philadelfia List"), namely SCIE (Science Citation Index-Expanded) index since January, 2007. It has also been included in Scopus database since January 2009.

At the same time, China Institute of Communications has signed a Memorandum of Understanding with the Institute of Electrical and Electronics Engineers (IEEE), aiming at publishing high-quality papers in China Communications to promote worldwide exchange in the ICTs field.

China Communications targets at being the most influential periodical on ICTs and providing instant access to the latest articles and papers for enterprises, research institutes, universities as well as professionals in communications. To achieve the ambitious goal, a strong Editorial Board (please see Editorial Board members pages) has been established with a group of authoritative and knowledgeable national and international experts to provide guidance and support. The Editorial Board helps to recruit important authors and review the papers.

The journal will be of academic authority, and innovative nature in content including technology applications, economic management, monographic study, etc..
Last updated by Dou Sun in 2017-03-15
Special Issues
Special Issue on Recent Development of Speech and Audio Signal Processing in Network Communication
Submission Date: 2017-04-15

Speech and audio signal processing techniques plays an important role for human interactive communication over networks. The development of voice communication techniques has lasted more than one hundred years since the invention of the telephone. As the great advances of wide-band communication, multimedia communication, mobile application, internet technology, computer science and sensor devices, the speech and audio communication has attracted more and more attentions which will make it possible for humans to interactively communicate with each other in a higher sense of talking and listening. More efficient speech and audio signal processing techniques are needed in order to realize interactive communication in an effective manner between remote places, including speech and audio coding, speech and audio quality evaluation, robust sound transmitting, source-based network adaption and equalization, and other sound enhancement techniques. As the developments of wide-band and mobile networks, humans have more willing to exchange more fruitful and fluent speech and audio contents over networks, which advances the techniques of speech and audio signal processing including systems, theory, algorithms and many processing tools. Nevertheless, the current IP-based network is inherently less reliable to realize the fruitful and fluent communication because of its best-effort feature. More efforts should be done to ensure end-to-end conversational quality as well as to promote the techniques of speech and audio signal processing. Besides the traditional speech communication region like speech coding and enhancement, many modern technologies have appeared including high definite speech and audio coding, large-scale audio signal compression with more channels and objects, microphone array signal processing, three-dimension audio capturing and rendering. These new techniques contribute to the latest applications of telepresence systems, realistic teleconference, mobile instant messaging, motion sensing game and other possible applications. Hence, there stands before us a great opportunity to realize network communication with the theoretical advances and implementations of speech and audio signal processing. Topics: - Speech and audio coding models, algorithms and theory, robust sound transmitting techniques, and source-based network adaption and equalization for the application of network communication. - The approaches of speech and audio enhancement, such as speech denoising, sound separation, speech de-reverberation, microphone array signal processing, multichannel echo cancellation and surround sound reproduction techniques. - The approaches of speech and audio quality measurement, such as voice quality assessment in VoIP, multichannel audio quality evaluation, speech intelligibility prediction and audio-visual quality assessment. - Other signal processing techniques for speech and audio interactive applications such as speech emotion analysis, human perception characteristics, speech and audio feature selection, audio classification, and so on. - Applications in acoustic communication services, including voice interactive communication (e.g., VoIP), network audio streaming, audio watermarking communication, mobile speech and audio communication, virtual audio reconstruction and sound field information capturing and rendering. - Deep learning in speech and audio signal processing, including original research works in this field, covering new theories, new algorithms, and new implementations and applications for signal and data analytics.
Last updated by Dou Sun in 2017-03-15
Special Issue on Future Internet Architecture and Testbeds
Submission Date: 2017-05-01

Rapid progresses have been made on seeking Internet architecture with better scalability, flexibility, controllability, mobility and security support. Numerous promising future Internet architectures, such as software-defined networking, information-centric networking, network virtualization, have emerged over the last few years. Mean while, experimentation has played a very important role in advancing networking research. Although analysis and simulation are important tools in studying the behavior of data traffic and analyzing new protocols and algorithms, it is essential that new research ideas be validated on real systems. To facilitate researchers, a variety of testbeds have been built in academia, national laboratories and industry. Example testbeds include GENI, PlanetLab, FIRE, CENI, etc. By conducting experiments on these testbeds, researchers can well validate their ideas for developing better future Internet architectures. Focusing on the development of future Internet architecture and testbeds, China Communications calls for papers to share experiences and advance the state of the art in architecture and experiment research in future Internet areas such as software-defined networking, information-centric networking, network virtualization, cloud computing and so on. Topics: - Future Internet architectures (including but not limit to software-defined networking, information-centric networking, network virtualization and cloud computing) - Evaluation testbeds architectures - Substrate hardware for testbeds construction - System design and implementation - Performance improvements and optimization - Experiment design for the testbeds - Key issue on large-scale deployment - Measurement, evaluation and analysis of experiment data - Tools and services for testbeds users and operators - Testbeds economics and pricing
Last updated by Dou Sun in 2017-03-15
Special Issue on Services and Communications in Fog Computing
Submission Date: 2017-06-15

Fog computing is an emerging research area that targets on providing services and communications in the space between end users and remote clouds. In the current cloud-based Internet-of-Things (IoT) model, smart devices (such as sensors, smartphones) exchange information through the Internet to cooperate and provide services to users, which could be citizens, smart home systems, and industrial applications. As a result, Fog computing is a new paradigm that entitle cloud computing and services to meets the enhanced communications requirements of low latency, location awareness and mobility support. The Fog computing is located just one wireless hop away from associated end nodes, such as mobile devices, sensors and end users. Services are hosted at the edge of network, consequently, this reduces service latency, improves quality of service and provides a superior experience for end users. Hence, Fog computing paradigm offers ideal placement for low-latency offload infrastructure to support emerging applications that demand real-time or predictable latency, such as vehicle automation, augmented reality and wearable cognitive assistance. Moreover, due to the capability to support a wide geographical distribution, Fog computing is well positioned for big data aggregating, analyzing and distilling bandwidth-hungry sensor data from devices. In IoT, Fog computing offers a natural vantage point for organizational access control, administrative autonomy and responsive analytics. In vehicular systems, Fog computing marks the junction between a moving vehicle and the Cloud. Fog computing-enabled 5G radio access networks can improve network performance, enable direct device-to-device wireless communications and support the growing trend of network function virtualization. Despite the several advantages, realizing Fog computing imposes many new challenges. For example, how to compose, deploy and manage distributed fog services, how to enable highly scalable and manageable Fog computing, how the end users should interact with the cloud, and how to enable users to control their communication services provided by operators. Addressing these challenges necessitates rethinking of the key requirements and potential opportunities for services and communications in Fog computing. This special issue aims to bring together researchers to publish state-of-art research findings of services and communications in Fog computing. Topics: - Fog computing infrastructure and applications for services and communications - Fog computing resources allocation and management for services and communications - Fog-based real time applications for 5G network - Load balancing and service selection/composition at the edge of network - Admission control for services and communications in Fog computing - Pricing and billing models for services in Fog computing - Deployment strategies of Fog services and communications - Service interactions and management between the Fog and the cloud - Fog-based radio access technology for 5G network, IoT, and vehicular systems.
Last updated by Dou Sun in 2017-03-15
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