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Joint user association, service caching, and task offloading in multi-tier communication/multi-tier edge computing heterogeneous networks

Research Authors
Bassant Tolba, Mohammed Abo-Zahhad, Maha Elsabrouty, Akira Uchiyama, Ahmed H Abd El-Malek
Research Member
Research Department
Research Date
Research Year
2024
Research Journal
Ad Hoc Networks
Research Publisher
Elsevier
Research Vol
160
Research_Pages
103500 (pp.1-17)
Research Website
https://scholar.google.com/scholar?oi=bibs&cluster=14096927975492373426&btnI=1&hl=en
Research Abstract

Due to the wide range of intensive computational applications and ubiquitous connectivity of the Internet of Things (IoT) paradigms, it has become crucial to develop a new platform that can achieve low delay, high network throughput, and enhanced quality of service (QoS). This paper proposes a joint user association, service caching, and task offloading strategy to reduce delay and enhance users’ QoS in multi-tier communication and multi-tier edge computing heterogeneous networks (HetNets). The considered system model consists of multi-users with different tasks and service data sizes communicating in a heterogeneous network of one massive multiple-input multiple-output (M-MIMO) macro base station and some small base stations. The proposed work investigates user association, power allocation, optimum service data caching, and task offloading strategies at the computing network edges. Thereby, the …