计算机类 | JCR 3/4区期刊专刊信息5条

计算机科学与技术

Physical Communication

Special Issue on Radio Access Technologies for Beyond 5G Wireless Networks (Submission Due on Oct 1st 2018)

全文截稿: 2018-10-01

影响因子: 1.522

CCF分类: 无

中科院JCR分区:

  • 大类 : 工程技术 - 4区

  • 小类 : 工程：电子与电气 - 4区

  • 小类 : 电信学 - 4区

网址: https://www.journals.elsevier.com/physical-communication

Today’s wireless services and systems have come a long way since the rollout of the conventional voice-centric cellular systems. The demand for wireless access in voice and multimedia applications has increased tremendously. In addition to these, new application classes, such as enhanced mobile broadband (eMBB) communication, ultra-reliable and low latency communications (uRLLC), massive machine type communications (mMTC), and Internet of Things (IoT), have gained significant interest recently for 5G wireless networks. The trend on the variety and the number of mobile devices along with the mobile applications will certainly continue beyond 5G, creating a wide range of technical challenges like cost, power efficiency, spectrum efficiency, extreme reliability, low latency, robustness against diverse channel conditions, cooperative networking capability and coexistence, dynamic and flexible utilization of wireless spectrum, etc. In order to address these technical challenges, 5G waveforms and radio access technologies (RATs) should be much more flexible. The current 4G systems rely on the orthogonal frequency division multiplexing (OFDM) waveform, which is not capable of supporting the diverse applications that 5G and beyond will offer. This is because the traffic generated by 5G and beyond is expected to have radically different characteristics and requirements when compared to current wireless technology. For 5G to succeed, numerous waveform alternatives have been explored to best meet its various technical requirements. However, none of the alternatives were able to address all the requirements at the same time. During the standardization of 5G, one thing has become certain: there is no single enabling technology that can achieve all of the applications being promised by 5G networking. This will be even more pronounced beyond 5G. For this purpose, the concept of using multiple OFDM numerologies, i.e., different parameterization of OFDM based subframes, within the same frame has been proposed in 3GPP discussions for 5G. This concept will likely meet the current expectations in multiple service requirements to some extent. However, since it is almost obvious that quantity of wireless devices, applications and heterogeneity of user requirements will keep increasing towards the next decade(s), the sufficiency of the aforementioned flexibility level remains quite disputable considering future expectations. Therefore, novel RATs facilitating much more flexibility are needed to address the aforementioned technical problems.

The aim of this Special Issue is to provide a forum for the latest research and advances in the field of RATs for beyond 5G wireless networks. Potential topics include, but are not limited to:

- Alternative waveforms

- Low latency and low complexity waveforms

- Energy and spectral efficient waveforms

- Novel hybrid and flexible waveforms

- Waveform design for multiple-input multiple-output (MIMO) systems

- Adaptive, flexible, differential and cognitive OFDM

- Non-orthogonal waveform design

- Physical layer security in OFDM

- Index modulation-based waveforms

- Millimeter-wave waveform design

- Effect of hardware impairments on the waveform design

- Waveform design for vehicular, device-to-device (D2D) and machine-to-machine (M2M) communications

- Implementations of beyond 5G waveforms

计算机科学与技术

Digital Signal Processing

Special issue on Source Localization in Massive MIMO

全文截稿: 2018-11-30

影响因子: 2.241

CCF分类: 无

中科院JCR分区:

  • 大类 : 工程技术 - 3区

  • 小类 : 工程：电子与电气 - 3区

网址: https://www.journals.elsevier.com/digital-signal-processing

With the development of millimeter-wave (mmWave) technology, massive multiple-input multiple-output (MIMO) becomes very promising in next generation wireless communication systems. By using a very large number of antennas (typically, hundreds or thousands) at the base station, massive MIMO can provide much better system performance in terms of channel capacity, spectrum efficiency and link reliability than classical MIMO equipping with multiple antennas (typically, two to tens). Besides, massive MIMO also enables high-accuracy localization for location-based services in our daily lives, e.g., indoor navigation, vehicle localization, map-based game, fraud detection, disaster relief, targeted advertisement, etc. Current localization technologies using global positioning systems (GPS) or Wi-Fi offer inferior performance in urban areas due to the limited number of antennas, complex multi-path or non-line-of-sight propagation environments. In contrast, massive MIMO may bring significant benefit in improving localization performance due to its large number of serving antennas. Nevertheless, the localization research using massive MIMO has just started for both academy and industry. There are various research issues to be addressed ranging from algorithm reliability and robustness to system achievement.

The goal of the Special Issue is to push the localization research specifically using massive MIMO with enhanced degrees-of-freedom. Review papers on this topic are also welcome. Topics of interest in this Special Issue include, but are not limited to:

- Antenna selection and array calibration

- Co-existence between radar and massive MIMO systems

- Compressive sampling and sparse sensing

- Hybrid analog-digital signal processing

- Indoor localization and vehicle navigation

- Location-based security authentication in Internet of Things (IoT)

- Massive UAV-to-ground communication and localization

- Non-line-of-sight positioning

- One-bit quantization

- Pilot design and channel estimation

- Resource-constrained beamforming

- Source enumeration and direction-of-arrival estimation

- Through-the-wall localization, imaging and pattern recognition

计算机科学与技术

Physical Communication

Special Issue on Coding and Information Theory for Emerging Communication Systems (submission due: 1 Feb, 2019)

全文截稿: 2019-02-01

影响因子: 1.522

CCF分类: 无

中科院JCR分区:

  • 大类 : 工程技术 - 4区

  • 小类 : 工程：电子与电气 - 4区

  • 小类 : 电信学 - 4区

网址: https://www.journals.elsevier.com/physical-communication

Thanks to remarkable works on coding and information theory in past decades, communication systems now are able to achieve outstanding error performance with moderate hardware complexity. However, besides reliability, emerging information systems are increasingly demanding efficiency under various metrics, and security not solely ensured by computation. For example, quantum communication systems protect security based on quantum mechanism, but with the cost of throughput and anti-jamming capability compared with traditional communication systems. For example, distributed storage systems (DSS) significantly enhance reliability and storage efficiency of data storage centers. At the same time, repair bandwidth, locality and security become important design metrics of DSS. These new demands create new challenges and opportunities for coding and information theory.

The aim of this special issue is to provide a forum for the latest research and advances in coding and information theory for emerging information systems. Potential topics include, but are not limited to:

- Advanced decoding algorithms for ultra-high speed communication systems

- Novel coding and decoding schemes for ultra-reliable low latency communications

- Joint encryption and error-correction coding for secure communications systems

- Cryptographic protocols for quantum communications

- Coding techniques for quantum communications systems

- Quantum information theory

- Regenerating codes for distributed storage systems

- Secure distributed storage systems with coding

- Intermediate trade-offs between storage and bandwidth

- Locally repairable codes for distributed storage systems

计算机科学与技术

Simulation Modelling Practice and Theory

SPECIAL ISSUE ON “IoT, Cloud, Big Data and AI in Interdisciplinary Domains"

全文截稿: 2019-05-31

影响因子: 2.092

CCF分类: 无

中科院JCR分区:

  • 大类 : 工程技术 - 3区

  • 小类 : 计算机：跨学科应用 - 3区

  • 小类 : 计算机：软件工程 - 3区

网址: https://www.journals.elsevier.com/simulation-modelling-practice-and-theory

Internet of Things (IoT), Cloud, Big Data and AI are the big things today. They cover not only Information and communication technology, but also all kinds of systems in our society, including business, finance, industry, manufacture, management, and environment. IoT connect the physical world to the Internet and generate big amount of data. Cloud computing environment facilitates the process of big data and make intelligent decisions based on big data analyses and machine learning. This special issue devotes to the analysis, modelling, simulation, and application in the Interdisciplinary Domains of these cutting edge technologies. Topics of interest include, but are not limited to:

- IoT systems analysis, modelling, simulation, and application in different domains

- Service-oriented computing and networking systems analysis, modelling, simulation, and application in different domains

- Cloud computing systems analysis, modelling, simulation, and application in different domains

- Big data systems modelling, analysis, simulation, and application in different domains

- Machine learning and artificial intelligent systems analysis, modelling, simulation, and application in different domains

- Combination and interaction of the systems and their analysis, modelling, simulation, and application in different domains

- Case studies with reusable analysis, simulation in different domains

计算机科学与技术

Simulation Modelling Practice and Theory

SPECIAL ISSUE ON “IoT, Cloud, Big Data and AI in Interdisciplinary Domains”

全文截稿: 2019-05-31

影响因子: 2.092

CCF分类: 无

中科院JCR分区:

  • 大类 : 工程技术 - 3区

  • 小类 : 计算机：跨学科应用 - 3区

  • 小类 : 计算机：软件工程 - 3区

网址: https://www.journals.elsevier.com/simulation-modelling-practice-and-theory

Internet of Things (IoT), Cloud, Big Data and AI are the big things today. They cover not only Information and communication technology, but also all kinds of systems in our society, including business, finance, industry, manufacture, management, and environment. IoT connect the physical world to the Internet and generate big amount of data. Cloud computing environment facilitates the process of big data and make intelligent decisions based on big data analyses and machine learning. This special issue devotes to the analysis, modelling, simulation, and application in the Interdisciplinary Domains of these cutting edge technologies. Topics of interest include, but are not limited to:

- IoT systems analysis, modelling, simulation, and application in different domains

- Service-oriented computing and networking systems analysis, modelling, simulation, and application in different domains

- Cloud computing systems analysis, modelling, simulation, and application in different domains

- Big data systems modelling, analysis, simulation, and application in different domains

- Machine learning and artificial intelligent systems analysis, modelling, simulation, and application in different domains

- Combination and interaction of the systems and their analysis, modelling, simulation, and application in different domains

- Case studies with reusable analysis, simulation in different domains

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