Author(s)

Jiayu Xu ¹, Zixuan Wang ², Shoubo Wang ³, Bo Tang ⁴

Affiliation(s)

¹ School of Communication, Chengdu Vocational University of the Arts, Meishan, Sichuan, China
² School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, China
³ College of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China
⁴ School of Rail Transit, Chengdu Vocational & Technical College of Industry, Chengdu, Sichuan, China

Corresponding Author

Jiayu Xu

ABSTRACT

This study addresses multi-objective optimization problems in wireless resource management by proposing a novel framework combining NSGA-II and the Whale Optimization Algorithm (WOA). By simultaneously optimizing multiple objectives, including quality of service, energy efficiency, and interference mitigation, this framework effectively addresses resource allocation and power control in multi-slice environments. Experimental results demonstrate that the proposed optimization method excels across multiple performance metrics, particularly demonstrating flexibility and efficiency when addressing trade-offs between different objectives. Compared to traditional optimization algorithms, the combination of NSGA-II and WOA offers significant advantages in solving multi-objective problems and possesses strong practicality and application potential. 

KEYWORDS

Wireless Resource Management, NSGA-II, Whale Optimization Algorithm, WOA, Multi-Objective Optimization

CITE THIS PAPER

Jiayu Xu, Zixuan Wang, Shoubo Wang, Bo Tang, Multi-Objective Wireless Resource Management Optimization Framework Based on NSGA-II and Whale Optimization Algorithm. Advances in Computer, Signals and Systems (2025) Vol. 9: 150-158. DOI: http://dx.doi.org/10.23977/acss.2025.090318.

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