Computation Offloading and Service Caching in Heterogeneous MEC Wireless Networks
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Computation_Offloading_and_Service_Caching_in_Heterogeneous_MEC_Wireless_Networks.pdf
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Type
ArticleKAUST Department
Electrical and Computer EngineeringComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Electrical and Computer Engineering Program
Date
2021Permanent link to this record
http://hdl.handle.net/10754/674999
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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.2021.3136595Additional Links
https://ieeexplore.ieee.org/document/9656594/ae974a485f413a2113503eed53cd6c53
10.1109/tmc.2021.3136595