Journal Information
IEEE Communications Magazine
http://www.comsoc.org/commag
Impact Factor:
5.125
Publisher:
IEEE
ISSN:
0163-6804
Viewed:
7766
Tracked:
18

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IEEE Communications Magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications systems (PCS), ISDN, and more. It includes special feature technical articles and monthly departments: book reviews, conferences, short courses, standards, governmental regulations and legislation, new products, and Society news such as administration and elections.
Last updated by Xin Yao in 2017-08-21
Special Issues
Special Issue on Unlocking 5G Spectrum Potential for Intelligent IoT: Opportunities, Challenges and Solutions
Submission Date: 2017-12-15

Internet of Things (IoT), one of the hottest trends in technology, is- transforming our future by interconnecting everything; humans,- vehicles, appliances, utilities, infrastructures, street lights and anything- through an intelligent connection. For realization of IoT by 2020, fifth generation- (5G) wireless communications network has been considered as an essential unifying- fabric that will connect billions of devices in some of the fastest, most- reliable and most efficient ways possible whose impact will be revolutionary,- reshaping industries and transforming our world. Therefore, 5G is currently- attracting extensive research interest from both industry and academia. It is- widely agreed that in contrast to 4G, 5G should achieve 1000 times system- throughput, 10 times spectral efficiency, higher data rates (i.e., the peak- data rate of 10 Gb/s and the user experienced rate of 1Gb/s), 25 times average- cell throughput, 5 times reduction in End-to-End (E2E) latency and 100 times- higher connectivity density. Among those requirements, the 1000-fold increase- in system capacity becomes the most important and may be the most challenging- one for 5G systems. To cope with such challenges,- spectrum efficiency through utilization of free and less crowded spectrum- resources has been considered as a promising complementary solution by- providing flexible and maximal spectrum usage to support the ultra-capacity- foreseen by 5G and beyond. Already some technology has been evolving, such as- LTE-U/LAA technology has increased the spectrum efficiency of Wi-Fi band- through coexistence technology. The practice of extremely high frequency- millimeter wave has been already proposed for broadband access and backhaul /- fronthaul networks for fast 5G speeds whereas, on the other hand, utilization- of the very low frequency band, sub 1-GHz spectrum, is aimed for the IoT for- enabling sensor-to-cloud applications. Although these technological- advances ease to meet the forecasted demand on 5G environment, these- technologies are still in their infancy. There are many challenges that need to- be resolved, such as network coexistence among different radio access- technologies, resource sharing and access with legacy devices, Quality of- Service (QoS) for users in unlicensed band, environmental and propagation- issues, power and cost issues. This Feature Topic (FT) will bring together academic and industrial- researchers to identify and discuss technical challenges and latest results- related to spectrum management techniques. Specific topics include, but are not- limited to: - Interaction of 5G- with Intelligent IoT - Spectrum sensing,- management and mobility for dynamic spectrum management - Routing Protocol- for dynamic spectrum management for Intelligent IoT - Cross-layer design- for dynamic spectrum management and Intelligent IoT - Traffic prediction- and allocation strategies for dynamic spectrum allocation - Cooperative- dynamic spectrum management with Intelligent IoT - Shared use of- unlicensed spectrum for dynamic spectrum management - Cognitive Radio in- 5G Networks in support of Intelligent IoT - Co-existence of- licensed and unlicensed spectrum in 5G network. - Random matrix- theory & mathematical analysis of dynamic spectrum management - System-level modeling- for dynamic spectrum management - Artificial- intelligence for dynamic spectrum management - Location-awareness- for dynamic spectrum management - Experimental- demonstrations, tests and performance characterization for dynamic spectrum- management - Business- model for dynamic spectrum management - Standardization- aspects of dynamic spectrum management - Regulatory- framework of dynamic spectrum management - Economy Theory framework- for dynamic spectrum management
Last updated by Dou Sun in 2017-11-28
Special Issue on Emerging Technologies for Connected and Smart Vehicles
Submission Date: 2018-02-01

Over the past decade, advances in vehicular communications and intelligent transportation systems (ITS) have been aimed at trimming down the fuel consumption by avoiding traffic congestion, enhancement of traffic safety while initiating new application, i.e., mobile infotainment. To address the individual requirements of both safety and non-safety applications in the Connected and Smart Vehicles field, there is a need to build up a new communication technology for the integrated solutions of vehicular communication and smart communications. The Connected Vehicles infrastructure can be of various models such as Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), and Vehicle-to-Everything (V2E). Due to the rapid growth in the Connected Vehicles, many research constraints need to be addressed, e.g., reliability and latency, appropriate scalable design of MAC and routing protocols, performance and adaptability to the changes in environment (node density and oscillation in network topology), and evaluation and validation of Connected Vehicles’ protocols under the umbrella of coherent assumptions using simulation methodologies. In addition, the information shared among Connected Vehicles is of great importance and it is not yet clear what kind of privacy policies will be defined for the ITS networks. This Feature Topic (FT) aims to emphasize the latest achievements to identify those aspects of Connected Vehicles and ITS networks that are identical to a traditional communications network in the broader spectrum. In this FT, we would like to try to answer some (or all) of the following questions: What will be the effect on Policy Making regulations when the connected vehicles will hit the roads? What are the privacy consequences with Connected Vehicles with Smart onboard peripherals? What kind of privacy policies will be defined for the connected vehicles and smart ITS networks? What kind of education and training are required for drivers and passengers of such connected and smart vehicles to take full benefits of the proposed communication architectures? What kind of ground breaking applications can make Connected Smart Vehicles more attractive? What will be the acceptability aspects of Smart Vehicles with networked hardware? In addition, the authors are expected to address state-of-the art research challenges, results, architecture, applications, and other achievements in the following topics, but not limited to: - Intra-vehicle communication (vehicle-to-pedestrians, vehicle-to-portable, vehicle-to-sign, etc.) - Network and system architecture for Connected Vehicles - MAC protocols and channel management - Physical layer and routing protocols - Delay tolerant vehicular networks - Real-time optimization system - Modeling and theory - Internet-of-Vehicles, smart sensors (infrastructure and vehicle based) - Mobility management (Traffic models) - Energy efficient vehicular communication - Quality-of-Service for vehicular communication - Future Internet in ITS and Networking Systems - Information and Content Centric Networking in Connected Vehicles Networks - Vehicular Cyber-Physical Systems and Smart Devices
Last updated by Dou Sun in 2017-11-28
Special Issue on Channel Models and Measurements for 5G
Submission Date: 2018-03-01

Research in 5G wireless communications technology has attracted worldwide attention in recent years. 5G is expected to include new requirements, applications and scenarios, e.g., high-speed broadband, machine-to-machine, device-to-device, vehicle-to-vehicle and high-speed train communications. To meet the spectrum efficiency and growth targets, 5G will need massive & 3D MIMO, network densification and increased spectrum via the use of millimeter-wave bands and new bands in the microwave spectrum (below 6 GHz). The characteristics of the radio channel have a wide-ranging impact on wireless communications. This includes, capacity, coverage, spectrum efficiency, hardware and software design of the radio, signal processing requirements, architecture of the base station and handsets etc. The simulation of an accurate and effective channel models is therefore an important step for research in wireless communications. There are many industry and academic-led channel model characterizations currently underway for mm-wave bands. These are the 3rd Generation Partnership Project (3GPP), covering 500 MHz to 100 GHz, International Telecommunications Union (ITU), the Mobile and Wireless Communications Enablers for the Twenty-Twenty Information Society (METIS), 5G mmWave Channel Model Alliance, NYU WIRELESS , IEEE 802.11, Millimeter- Wave Evolution for Backhaul & Access (MiWEBA), mmWave based Mobile Radio Access Network for 5G Integrated Communications (mmMAGIC), COST IRACON, and many individually-led efforts. The channel models for the microwave bands are also described in existing standards of 3GPP, ITU, IEEE, and many other organizations. The purpose of channel model characterizations is also different. For example, the industry models 3GPP/ITU are mainly to study technology evaluations and standardization, and they do not necessarily lead to the prediction of real world performance, for which more detailed models need to be used, possibly taking specific environment features into account. The differing objectives of the channel models have also led to divergent views on some key properties of the radio channel: for instance, the industry standardized models assume that the cluster numbers of both microwave and mm-wave frequencies are the same’; this is contrary to the observations in many published papers. Furthermore, some large-scale parameters are simple functions of frequency, even though there is no strong experimental evidence for this. It is, therefore, clear that more efforts are needed to understand propagation characteristics especially in mm-wave bands and to demonstrate their impact on system design and deployment. Prospective authors are welcome to submit original and high-quality papers in any of the topics of this Feature Topic. Potential topics include, but are not limited to the following: - Measurement based channel models for 5G covering microwave and mm wave bands; Differences between the channel properties for cm and mm wave and why should we care? - Channel models for Massive MIMO systems and 3D MIMO systems - Channel models for machine-type communications (MTC) scenarios - Channel models for V2X communication systems - The impact of channel models on system design, performance and deployment - The impact of channel models on system architecture and signal processing requirements at the transmitter and receiver - Progress in standardization of channel models - These contributions will enable simulation, evaluation, performance optimization and network deployment of future wireless mobile systems.
Last updated by Dou Sun in 2017-11-28
Special Issue on Fog Services and Enabling Technologies
Submission Date: 2018-03-01

Recently, Fog computing has received considerable attention in various application domains such as time-sensitive transactions in intelligent manufacture, smart transportation, and cellular networks. Fog computing derives benefits from the increasingly smarter and capable devices that reside not only at the network perimeter but also along the cloud-to-things continuum. This means that Fog-enabled services can be deployed anywhere in a network. Such continuous service provisioning and management have great potential to elevate the intelligence within computing networks to realize context-awareness, timely response, and network traffic offloading. As a new way of delivering services, Fog computing has the great potential to reshape the landscape of the ICT industry and provide tremendous novel business opportunities to customers. However, realizing the full potential of Fog services and meeting the customer expectations raise a number of significant challenges for Fog service providers. These practical challenges bring new research questions which have not been fully addressed. As many applications will be moved from the centre of the network to somewhere close to data sources and end users to avoid latency in communications, one important question is how to achieve rapid and efficient service deployment and update in a large-scale distributed Fog network. Given the nature of large dynamics and fragmentation in IoT application environments, another question is that how to enable continuous service provisioning, such as Fog sharing mechanism, seamless service management, cross-domain service integration, resource-aware service adaptation, business and operation models. This Feature Topic (FT) is to present state-of-the-art technical advances on Fog-enabled IoT services and applications. Topics of interest include, but are not limited to: - Communication and networking architectures for IoT - Interoperable Fog-Cloud interactions and enabling protocols - Fog service Platform and testbed - New resource (storage, networking, computation and task) allocation models for Cloud and Fog computing - Systems that support dynamic (re-) deployment of services - Fog-enabled data services, including distributed data centers, edge data analytics, and edge caching - Fog-enabled networking services, including SDN, network function virtualizations and new networking services. - Fog-enabled computing services, Fog-based service discovery, composition models - AI-enabled Fog networks - Seamless service provisioning through Fog network - Trials and experimentation on Fog computing and networking
Last updated by Dou Sun in 2017-11-28
Special Issue on Internet of Electric Vehicles and Smart Grid
Submission Date: 2018-04-01

Internet of vehicles has attracted much attention due to its network capability of storing, processing, and disseminating data generated from vehicles and infrastructure connected. Valuable information can be provided that facilitates various applications, including improved services and vehicle safety. Meanwhile, electric vehicles (EVs) are gradually replacing conventional vehicles, driven by the desire to reduce greenhouse gas emissions. To embrace the convenience of connectivity and appreciate low-carbon environments, we need to expedite the process of transition from Internet of vehicles to Internet of Electric Vehicles (IoEV). However, the increased number of EVs can substantially impact the underlying power grids because of the power loads induced by stochastic charging events. IoEV, serving as dynamic loads and energy storage devices, and the grid must work together and support each other. This Feature Topic (FT) aims to disseminate general ideas extracted from cutting-edge research results spanning multiple disciplines. Potential authors will be able to share various viewpoints and the newest findings from research and ongoing projects relevant to IoEV and smart grids. Topics of interest include, but are not limited to: - Vehicles-to-grid communications - Dynamic spectrum access technologies for IoEV - Grid-based network and services for IoEV - IoEV for smart grid - Power scheduling for charging IoEV - Modeling and simulation for the interaction of grids and EVs
Last updated by Dou Sun in 2017-11-28
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