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IEEE Communications Standards Magazine
Number of Followers: 2  
 
  Full-text available via subscription Subscription journal
ISSN (Print) 2471-2825 - ISSN (Online) 2471-2833
Published by IEEE Homepage  [228 journals]
  • Cover 2
    • Abstract: Advertisement.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • Cover 3
    • Abstract: Advertisement.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • Cover 4
    • Abstract: Advertisement.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • The Importance of National Standards
    • Authors: Glenn Parsons;
      Pages: 2 - 3
      Abstract: Reports on the significance of creating and developing standards relevant to the information and communication technology industry.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • What Does Sustainability in Communications Mean'
    • Authors: Robert S. Fish;
      Pages: 4 - 4
      Abstract: In 2015 the United Nations General Assembly adopted a set of Sustainable Development Goals (SDG) that are to be reached by the year 2030. In essence, these goals are an attempt to resolve the issue of the “Great Divergence” between industrially developed and undeveloped countries. SDG 9, labeled “Industry, Innovation, and Infrastructure,” is focused on building resilient infrastructure, promoting inclusive and sustainable industrialization, and fostering innovation. Communications systems are the core of a huge industry, thrive on innovation, and are a critical element of the infrastructure of modern societies. So, the clear message is that communications systems must themselves be sustainable over the long term and are also essential for the realization of the collective SDG. The question is, what stands in the way of realizing these goals' Examines these issues.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • IEEE Internet of Things Summit 11/19
    • Pages: 5 - 5
      Abstract: Advertisement.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • MEF Leads SD-WAN Service Standardization & Certification: Q&A with Nan
           Chen
    • Pages: 6 - 8
      Abstract: In July 2019, MEF published the industry’s first global standard defining an SD-WAN service and its service attributes. In this interview, MEF President Nan Chen discusses a range of SD-WAN-related standardization and certification initiatives and how MEF’s work will benefit the market.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • Comsoc Membership
    • Pages: 9 - 9
      Abstract: Advertisement, IEEE.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • Standards News
    • Pages: 10 - 16
      Abstract: Reports on ECMA International activities. ECMA is a Geneva based non-profit organization that develops standards (SDO) in the field of information and communication technologies (ICT) and consumer electronics (CE). This includes access systems, acoustics, electromagnetic compatibility and electromagnetic fields (EMC and EMF), information storage (magnetic tapes, optical discs, etc.), multimedia coding and communications, programming languages, NFC (Near Field Communication), Office Open XML formats and smart wearable systems and sensor-based devices.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • IEEE Comsoc Training
    • Pages: 17 - 17
      Abstract: Advertisement, IEEE.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • Wireless and Radio Communications
    • Authors: Todor Cooklev;Leif Wilhelmsson;Peiying Zhu;
      Pages: 18 - 18
      Abstract: The articles in this special section examine new and emerging wireless and radio communication technologies.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • Packet Duplication in Dual Connectivity Enabled 5G Wireless Networks:
           Overview and Challenges
    • Authors: Adnan Aijaz;
      Pages: 20 - 28
      Abstract: Enabling ultra-reliable low-latency communications in 5G wireless networks creates challenging design requirements, particularly on the air interface. The stringent latency and reliability targets require enhancements at different layers of the protocol stack. On the other hand, the Parallel Redundancy Protocol, wherein each data packet is duplicated and transmitted concurrently over two independent networks, provides a simple solution for improving reliability and reducing latency in wireless networks. PRP can be realized in cellular networks through the dual connectivity solution. Recently, 3GPP has introduced packet duplication functionality in 5G wireless networks. To this end, this article provides an overview of the packet duplication functionality in 5G in light of recent developments within 3GPP, and also highlights the related technical challenges.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • 5G New Radio: Unveiling the Essentials of the Next Generation Wireless
           Access Technology
    • Authors: Xingqin Lin;Jingya Li;Robert Baldemair;Jung-Fu Thomas Cheng;Stefan Parkvall;Daniel Chen Larsson;Havish Koorapaty;Mattias Frenne;Sorour Falahati;Asbjorn Grovlen;Karl Werner;
      Pages: 30 - 37
      Abstract: The fifth generation (5G) wireless access technology, known as New Radio (NR), will address a variety of usage scenarios from enhanced mobile broadband to ultra-reliable low-latency communications to massive machine type communications. Key technology features include ultra-lean transmission, support for low latency, advanced antenna technologies, and spectrum flexibility including operation in high frequency bands and inter-working between high and low frequency bands. This article provides an overview of the essentials of the state of the art in 5G wireless technology represented by the 3GPP NR technical specifications, with a focus on the physical layer. We describe the fundamental concepts of 5G NR, explain in detail the design of physical channels and reference signals, and share the various design rationales influencing standardization.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • Advanced Data Transmission Framework for 5G Wireless Communications in the
           3GPP New Radio Standard
    • Authors: Jeongho Yeo;Taehyoung Kim;Jinyoung Oh;Sungjin Park;Younsun Kim;Juho Lee;
      Pages: 38 - 43
      Abstract: The Third Generation Partnership Project (has recently published the first series of specifications for the New Radio (NR) standard, which are designed to meet the industry's demand for early commercialization of 5G. The NR standard has been developed to provide not only enhanced mobile broadband services, but also other new services such as ultra-reliable and low-latency communications and massive machine type communications. This article describes new features of the data transmission framework in NR specified to support various services and explains the technical motivation and merits of these features.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • Further Enhanced Multimedia Broadcast/Multicast Service in LTE-Advanced
           Pro
    • Authors: Rafael Kaliski;Ching-Chun Chou;Hung-Yu Wei;
      Pages: 44 - 51
      Abstract: Consumer demand for high definition video is growing, but current Long Term Evolution (LTE) networks lack sufficient capacity to broadcast the typical 10 to 20 TV channels concurrently broadcast in a geographic region. In response to growing demand, the Third Generation Partnership Program initiated a study into TV enhancements for multimedia broadcast/multicast service (MBMS) for LTE. 3GPP's further enhanced MBMS (FeMBMS) enables higher per cell bandwidth for MBMS services, simultaneous reception of both unicast and multicast services from different mobile network operators (MNOs), MBMS-dedicated cells, standalone MBMS, non-subscriber reception of TV services, and larger cell sizes. In addition, shared enhanced MBMS (eMBMS) networks and MBMS transport services enable MNOs to minimize costs from the content providers, while at the same time incentivizing the content providers to exploit LTE for linear TV services. Finally, by utilizing MBMS on demand (MooD) and dynamic MBMS, the resource allocations to the MBMS flows can be dynamically adapted; for example, the users' quality of experience can be further improved beyond that of legacy static MBMS resource allocation. This article describes the enhancements made to LTE eMBMS related to TV services, MooD, and use cases for each of the enhancements. Additionally, MBMS in 5G next-generation radio is also discussed. The scope of this article comprises the terminal, radio access, core architecture, and related services.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • Selected Papers from the Tenth ITU Kaleidoscope Academic Conference
    • Authors: Mostafa Hashem Sherif;Kai Jakobs;Christoph Dosch;Alessia Magliarditi;
      Pages: 52 - 53
      Abstract: The articles in this special section were presented at the Tenth ITU Kaleidoscope Academic Conference.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • Automation of 5G Network Slice Control Functions with Machine Learning
    • Authors: Ved P. Kafle;Pedro Martinez-Julia;Takaya Miyazawa;
      Pages: 54 - 62
      Abstract: 5G communication networks will be complex due to the emergence of an unprecedented huge number of new types of connected devices and services. Moreover, the on-demand creation of virtual network slices, each suitable for a different application, is posing challenges to the efficient management of network resources, while optimally satisfying the quality of service requirements in time-varying workloads and network conditions. This article, which is tutorial in nature, introduces 5G network slices (from the point of view of the non-wireless part of the network) and elaborates the necessity of automation of network functions related to the design, construction, deployment, operation, control, and management of network slices. It revisits machine learning techniques applicable to the automation of network functions. It then presents a machine-learning-based framework for the operation and control of network slices by continuously monitoring workload, performance, and resource utilization, and dynamically adjusting the resources allocated to network slices. Preliminary results of workload prediction accuracy obtained from the analysis of real-life data collected from a web server are also reported.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • QoE Enhancement in Next Generation Wireless Ecosystems: A Machine Learning
           Approach
    • Authors: Eva Ibarrola;Mark Davis;Camille Voisin;Ciara Close;Leire Cristobo;
      Pages: 63 - 70
      Abstract: Next-generation wireless ecosystems are expected to comprise heterogeneous technologies and diverse deployment scenarios. Ensuring quality of service (QoS) will be one of the major challenges on account of a variety of factors that are beyond the control of network and service providers in these environments. In this context, ITU-T is working on defining new Recommendations related to QoS and users' quality of experience (QoE) for the 5G era. Considering the new ITU-T QoS framework, we propose a methodology to develop a global QoS management model for next generation wireless ecosystems taking advantage of big data and machine learning (ML). The methodological approach is based on the use of supervised and unsupervised ML techniques in order to identify both the KQIs relevant for the users and the network performance (NP) anomalies. The proposed methodology links the NP and QoE via inductive ML algorithms and provides information about the areas where corrective actions are required. The results from a case study conducted to validate the model in real-world Wi-Fi deployment scenarios are also presented.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
  • Using Deep Reinforcement Learning for Application Relocation in
           Multi-Access Edge Computing
    • Authors: Fabrizio De Vita;Giovanni Nardini;Antonio Virdis;Dario Bruneo;Antonio Puliafito;Giovanni Stea;
      Pages: 71 - 78
      Abstract: Multi-access edge computing (MEC) brings data and computational resources near mobile users, with the ultimate goal of reducing latency, improving resource utilization, and leveraging context and radio awareness. Relocation policies for applications in the MEC environment are necessary to guarantee its effectiveness and performance, and can use a multitude of different data (user position and direction, availability of MEC services and computation resources, etc.). In this article, we advocate using deep reinforcement learning to relocate applications in MEC scenarios, by having MEC learn during the evolution of the system. We show the feasibility of this approach and highlight its benefits via simulation, also presenting an environment that can foster future research on this topic.
      PubDate: September 2019
      Issue No: Vol. 3, No. 3 (2019)
       
 
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