【今日新增】SCI期刊《China Communications》专刊信息4条

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全文截稿：2017-03-25

期刊：China Communications

专刊：Special Issue on Smart Caching and Coded Transmission

领域：计算机网络

难度：★

影响因子：0.424

网址：http://www.cic-chinacommunications.cn/EN/volumn/home.shtml

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The amount of data traffic continues to grow at astronomical rates, pressing network’s capability to support them with limited resources. A major fraction of traffic is generated by multimedia content, such as video, which is usually of interest to multiple users. In this sense, the network is not only a big pipe for bits, but rather as a platform for serving content.

Traditionally, caching has been an important mechanism to reduce the bandwidth requirement for serving large volume of multimedia content that many users are interested in. A common idea is to place the content at the user side in advance during off-peak hours when traffic is low. Then, when the user actually requests the content at peak hours, less backhaul bandwidth is needed. Content centric network (CCN), content delivery network (CDN), named data network (NDN) all fall into this area. However, for caching to beneficial, it is important to cache the right pieces of content. Otherwise, the cache miss-rate will be high.

While smart caching tries to precache the content nearby the users, coded transmission aims to exploit the maximum throughput of a given network. For a network topology and constrained link capacities, the maximum information dissemination rate can then be upper bounded. Coded transmission therefore can be adopted to achieve a rate near this upper bound. It is thus important to devise various transmission schemes adapt to different topologies.

Furthermore, a new kind of caching scheme, called coded caching, is proposed recently. Coded caching actually tries to exploit the benefits of both smart caching and also coded transmission. By smart caching, the network can not only obtain the benefit of pre-caching, but can also create coded (multicast) transmission opportunities when users request content simultaneously. The opportunity and challenge of coded caching both lie in the dependency between the caching and transmission. It is important to characterize this dependency under various settings.

For the reasons above, this feature topic issue intends to promote and expose these research activities to the China Communication readership. We solicit contributions for a Feature Topic on ”Smart Caching and Coded Transmission" scheduled for July, 2017.

Topics:

- Architecture design

- Network topology

- Caching Mechanism

- Routing protocol and switching

- Coded transmission

- Cache network management

- Coded caching

- Experimental results

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全文截稿：2017-04-15

期刊：China Communications

专刊：Special Issue on Recent Development of Speech and Audio Signal Processing in Network Communication

领域：计算机网络

难度：★

影响因子：0.424

网址：http://www.cic-chinacommunications.cn/EN/volumn/home.shtml

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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.

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全文截稿：2017-05-01

期刊：China Communications

专刊：Special Issue on Future Internet Architecture and Testbeds

领域：计算机网络

难度：★

影响因子：0.424

网址：http://www.cic-chinacommunications.cn/EN/volumn/home.shtml

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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

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全文截稿：2017-06-15

期刊：China Communications

专刊：Special Issue on Services and Communications in Fog Computing

领域：计算机网络

难度：★

影响因子：0.424

网址：http://www.cic-chinacommunications.cn/EN/volumn/home.shtml

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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.