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    Computation Offloading and Service Caching in Heterogeneous MEC Wireless Networks

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    Name:
    Computation_Offloading_and_Service_Caching_in_Heterogeneous_MEC_Wireless_Networks.pdf
    Size:
    1.491Mb
    Format:
    PDF
    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Zhang, Yongqiang cc
    Kishk, Mustafa Abdelsalam cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Electrical and Computer Engineering
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Electrical and Computer Engineering Program
    Date
    2021
    Permanent link to this record
    http://hdl.handle.net/10754/674999
    
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    Abstract
    Mobile edge computing (MEC) can dramatically promote the computation capability and prolong the lifetime of mobile users by offloading computation-intensive tasks to edge cloud. In this paper, a spatial-random two-tier heterogeneous network (HetNet) is modelled to feature random node distribution, where the small-cell base stations (SBSs) and the macro base stations (MBSs) are cascaded with resource-limited servers and resource-unlimited servers, respectively. Only a certain type of application services and finite number of offloaded tasks can be cached and processed in the resource-limited edge server. For that setup, we investigate the performance of two offloading strategies corresponding to integrated access and backhaul (IAB)-enabled MEC networks and traditional cellular MEC networks. Using tools from stochastic geometry and queuing theory, we derive the average delay for the two different strategies, in order to better understand the influence of IAB on MEC networks. Simulations results are provided to verify the derived expressions and to reveal various system-level insights.
    Citation
    Zhang, Y., Kishk, M., & Alouini, S. (2021). Computation Offloading and Service Caching in Heterogeneous MEC Wireless Networks. IEEE Transactions on Mobile Computing, 1–1. doi:10.1109/tmc.2021.3136595
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Mobile Computing
    DOI
    10.1109/tmc.2021.3136595
    Additional Links
    https://ieeexplore.ieee.org/document/9656594/
    ae974a485f413a2113503eed53cd6c53
    10.1109/tmc.2021.3136595
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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