An Effective Resource Allocation Framework for D2D Communication in 5G Wireless Personal Area Network With Hybrid Optimizer
ABSTRACT Allocating resources in an energy‐effective method for the development of 5G networks. Energy efficiency in D2D communication is another challenge. Less energy usage is needed for devices to communicate with one another. D2D communication frequently uses more energy than conventional communication techniques. This is one of the major challenges of D2D transmission that needs to be resolved. To address these challenges, a new energy‐effective resource allocation system for D2D transmission in 5G WPAN is presented in this paper. The primary goal of the presented task is to enhance the average power effectiveness of the entire links of D2D, thus ensuring the service quality of the cellular user equipments (CUEs) and the constraints of energy harvesting (EH) in the D2D connections. Problems such as D2D user equipments (DUEs), spectrum, resource block allocation, and time slot allocation are used in D2D communication. To rectify these problems, this work derived an average energy efficiency issue. Moreover, this work joins the spectrum and power block allocation. Then, the EH time slot allocation is executed based on the Hybrid Gazelle with Walrus Optimization (HGWO). The extensive analysis outcomes illustrate that the implemented HGWO optimization‐aided model attains more energy efficacy for distinct network attribute settings.
Authors
- Guma Ali (ORCID: https://orcid.org/0000-0003-3234-6420)
- K. Chanthirasekaran
- A. Vijayaraj
- Nadia Sarhan (ORCID: https://orcid.org/0009-0006-2493-2795)
- Xiaobin Wu (ORCID: https://orcid.org/0000-0002-3283-6377)
- Emad Mahrous Awwad
Institutions
- Chettinad Academy of Research and Education (IN)
- King Saud University (SA)
- University of Business and Technology (SA)
- Southwest Jiaotong University Hope College
- Southwest Jiaotong University (CN)
- Saveetha University (IN)
Publication Details
- Journal
- International Journal of Communication Systems
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1002/dac.6092
- Citations
- 1
- Primary Topic
- Advanced MIMO Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- King Saud University