Resource Allocation for Ultra-Reliable and Enhanced Mobile Broadband IoT Applications in Fog Network

In recent years, in order to provide a better quality of service (QoS) to Internet of Things (IoT) devices, the cloud computing paradigm has shifted toward the edge. However, the resource capacity (e.g., bandwidth) in fog network technology is limited and it is essential to efficiently bind the IoT...

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Bibliographic Details
Published in:IEEE transactions on communications 2019-01, Vol.67 (1), p.489-502
Main Authors: Abedin, Sarder Fakhrul, Alam, Md. Golam Rabiul, Kazmi, S. M. Ahsan, Tran, Nguyen H., Niyato, Dusit, Hong, Choong Seon
Format: Article
Language:English
Subjects:
Analytic hierarchy process
Bandwidths
Bit error rate
Broadband
Broadband communication
Cloud computing
Computer simulation
enhanced mobile broadband (eMBB)
Fog
Fog computing
Games
Infrastructure
Internet of Things
Internet of Things (IoT)
Matching
Mobile communication systems
Mobile computing
Quality of service
Quality of service architectures
Resource allocation
Resource management
Resource scheduling
Stability analysis
ultra-reliable low latency communications (URLLC)
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Summary:In recent years, in order to provide a better quality of service (QoS) to Internet of Things (IoT) devices, the cloud computing paradigm has shifted toward the edge. However, the resource capacity (e.g., bandwidth) in fog network technology is limited and it is essential to efficiently bind the IoT applications with stringent QoS requirements with the available network infrastructure. In this paper, we formulate a joint user association and resource allocation problem in the downlink of the fog network, considering the evergrowing demand of QoS requirements imposed by the ultra-reliable low latency communications and enhanced mobile broadband services. First, we determine the priority of different QoS requirements of heterogeneous IoT applications at the fog network by enforcing the analytical framework using an analytic hierarchy process (AHP). Using the AHP, we then formulate a two-sided matching game to initiate stable association between the fog network infrastructure (i.e., fog devices) and IoT devices. Subsequently, we consider the externalities in the matching game that occurs due to job delay and solve the network resource allocation problem by applying the "best-fit" resource allocation strategy during matching. The simulation results illustrate the stability of the user association and efficiency of resource allocation with higher utility gain.
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2018.2870888