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

مؤلف البحث
Bassant Tolba, Mohammed Abo-Zahhad, Maha Elsabrouty, Akira Uchiyama, Ahmed H Abd El-Malek
المشارك في البحث
تاريخ البحث
سنة البحث
2024
مجلة البحث
Ad Hoc Networks
الناشر
Elsevier
عدد البحث
160
صفحات البحث
103500 (pp.1-17)
موقع البحث
https://scholar.google.com/scholar?oi=bibs&cluster=14096927975492373426&btnI=1&hl=en
ملخص البحث

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 …