Joint successful transmission probability, delay, and energy efficiency caching optimization in fog radio access network

Bani-Bakr, Alaa and Dimyati, Kaharudin and Hindia, Mhd Nour and Wong, Wei Ru and Tengku Mohmed Noor Izam, Tengku Faiz (2021) Joint successful transmission probability, delay, and energy efficiency caching optimization in fog radio access network. Electronics, 10 (15). ISSN 2079-9292, DOI

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The fog radio access network (F-RAN) is considered an efficient architecture for caching technology as it can support both edge and centralized caching due to the backhauling of the fog access points (F-APs). Successful transmission probability (STP), delay, and energy efficiency (EE) are key performance metrics for F-RAN. Therefore, this paper proposes a proactive cache placement scheme that jointly optimizes STP, delay, and EE in wireless backhauled cache-enabled F-RAN. First, expressions of the association probability, STP, average delay, and EE are derived using stochastic geometry tools. Then, the optimization problem is formulated to obtain the optimal cache placement that maximizes the weighted sum of STP, EE, and negative delay. To solve the optimization problem, this paper proposes the normalized cuckoo search algorithm (NCSA), which is a novel modified version of the cuckoo search algorithm (CSA). In NCSA, after generating the solutions randomly via Levy flight and random walk, a simple bound is applied, and then the solutions are normalized to assure their feasibility. The numerical results show that the proposed joint cache placement scheme can effectively achieve significant performance improvement by up to 15% higher STP, 45% lower delay, and 350% higher EE over the well-known benchmark caching schemes.

Item Type: Article
Funders: Fundamental Research Grant Scheme (FRGS) (FP014-2020), Fundamental Research Grant Scheme (FRGS) (FRGS/1/2020/TK0/UM/02/39)
Uncontrolled Keywords: Backhaul; Caching; Cuckoo search algorithm; Delay; energy efficiency; Fog computing; F-RAN; Stochastic geometry
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering
Depositing User: Ms Zaharah Ramly
Date Deposited: 22 Jun 2022 05:03
Last Modified: 22 Jun 2022 05:03

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