Dragonfly-Based Joint Delay/Energy LTE Downlink Scheduling Algorithm

Managing radio resources in Long Term Evolution (LTE) networks is considered as one of the essential design factors for enhancing the overall system performance. Common approaches are introduced to either achieve fairness between network users or attain maximum spectral efficiency. However, these ap...

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Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.35392-35402
Main Authors: Nashaat, Heba, Refaat, Osama, Zaki, Fayez W., Shaalan, Islam E.
Format: Article
Language:English
Subjects:
Algorithms
Design factors
Downlink
Dragonfly algorithm
Energy consumption
Energy efficiency
Heuristic methods
Long Term Evolution
LTE
Optimization
Quality of service
Resource allocation
Resource management
Resource scheduling
Scheduling
Scheduling algorithms
User requirements
User satisfaction
Wireless communications
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Summary:Managing radio resources in Long Term Evolution (LTE) networks is considered as one of the essential design factors for enhancing the overall system performance. Common approaches are introduced to either achieve fairness between network users or attain maximum spectral efficiency. However, these approaches do not consider optimizing energy consumption. Therefore, in this paper, a novel resource allocation algorithm based on the Dragonfly metaheuristic technique is proposed to allocate bandwidth to users. The new algorithm is called Dragonfly-based Joint Delay/Energy (DJDE) and considers the Quality of Services (QoS) requirements of the users while achieving a high level of energy efficiency. The proposed solution utilizes the Dragonfly algorithm to optimize the integration process of different scheduling policies. To evaluate the proposed algorithm, an extensive set of experiments are conducted to compare the proposed solution to the state-of-the-art techniques. Also, to assess the energy efficiency of the proposed method, another set of experiments are simulated to compare it with various algorithms that optimize energy consumption. The obtained results prove that the DJDE algorithm can satisfy the QoS requirements of the users while improving the overall system performance.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.2974856