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Multi-Access Mobile Edge Computing for Heterogeneous IoT

Feature Topic

CALL FOR PAPERS

The convergence of mobile internet and wireless systems have witnessed an explosive growth in resource-hungry and computation-intensive services and applications, which
cover broad paradigms of so-called heterogeneous Internet of Things (H-IoTs). These systems include real-time video/audio surveillance, remote e-health systems, intelligent transportation systems, and Internet of Vehicles (IoV), and etc. Mobile edge computing, by placing various cloud resources (e.g., computational and storage resources) closer to smart devices/objects, has been envisioned as an enabling and highly promising technology to realize and reap the promising benefits of H-IoTs applications. However, the growing demands for ultra-low latency, massive connectivity, and high reliability of the large number of H-IoTs applications has yielded a critical issue in mobile edge computing, i.e. the limited connections (such as connection capacity, bandwidth, or the number of simultaneously affordable connections) between mobile edge cloud and smart devices/objects.

Multi-access mobile edge computing (MA-MEC), which actively exploits a systematic and adaptive integration of recent radio access technologies including 5G, LTE, and Wi-Fi to enhance the access capacity of smart devices to mobile edge platforms, has been considered as a highly promising technology to tackle this issue. The evolution towards the architecture of ultra-dense small-cells (micro / pico / femto cells, and Wi-Fi hotspots) in future radio access networks facilitates the MA-MEC, i.e., the densely deployed small cells can significantly improve the capacity and quality of the connections between smart devices and mobile edge cloud. For instance, the emerging small-cell dual-connectivity in small-cell networks enables smart mobile devices to communicate with conventional macro-cells and off load data traffic to small cells simultaneously. This enhances the access capacity of mobile edge cloud at small cells.

Therefore, with the strength of multi-access for capacity-enhancement, the MA-MEC is expected to bring a variety of benefits, such as i) ultra-low latency between smart devices and edge cloud for real-time, interactive, and mission-critical applications, e.g., the real-time indoor navigation and augmented virtual-reality, ii) privacy and security in local communications to access mobile edge cloud, and iii) the big data analytics at the point of capture for IoT applications. For instance, the MA-MEC can facilitate the implementation of various safety-oriented applications in transport systems, in which MA-MEC provides robust and ultra-low latency connections for smart vehicles to efficiently access mobile edges for real-time safety-related information processing at mobile edge at the road-side units.

However, the success of MA-MEC still requires tackling many new challenges. To efficiently exploit computation and storage resources at mobile edge nodes, a joint optimization of placement of computation/storage resource and cell-association with radio resource allocation is necessitated. Such joint optimization should be adaptive according to time-varying environments, e.g., the varying wireless channel states when users move across the cells and the dynamic computation/storage resource utilizations. Therefore, this Feature Topic (FT) aims at soliciting high quality and unpublished work regarding recent advances in MA-MEC, with the main focus on addressing the fundamental design issues in MA-MEC, and the emerging paradigms and testbeds that use MA-MEC. We solicit papers covering the topics of interests in the following two main categories:

  • Fundamental design issues in MA-MEC
    • Radio resource management for MA-MEC
    • Task scheduling and computation resource management for MA-MEC
    • Virtualization and network slicing for MA-MEC
    • Location and sizing of computation and storage elements for MA-MEC
    • Communication protocols and network architectures for MA-MEC
    • Security, privacy, and reliability in MA-MEC
    • QoE and QoS provisioning in MA-MEC
    • 5G/LTE/WiFi enabled MA-MEC
    • Energy management and green MA-MEC
    • Edge-to-cloud integration and protocols for MA-MEC
    • Human and social-driven design of MA-MEC
  • MA-MEC for Heterogeneous IoT
    • MA-MEC for smart cities
    • MA-MEC for video/audio surveillance
    • MA-MEC for industrial IoT
    • MA-MEC for smart energy systems
    • MA-MEC for smart healthcare
    • MA-MEC for intelligent transportation systems
    • MA-MEC for big data analytics

GUEST EDITORS

Yan Zhang
University of Oslo, Norway
Email: yanzhang@ieee.org

Yuan Wu
Zhejiang University of Technology, China
Email: iewuy@zjut.edu.cn

Hassnaa Moustafa
Intel Corporation, USA
Email: hassnaa.moustafa@intel.com

Danny H.K. Tsang
Hong Kong University of Science and Technology, Hong Kong
Email: eetsang@ust.hk

Alberto Leon-Garcia
University of Toronto, Canada
Email: alberto.leongarcia@utoronto.ca

Usman Javaid
Vodafone, UK
Email: usman.javaid@vodafone.com