An Effective Resource Allocation Framework for D2D Communication in 5G Wireless Personal Area Network With Hybrid Optimizer

被引:0
作者
Wu, Xiaobin [1 ]
Vijayaraj, A. [2 ]
Sarhan, Nadia [3 ]
Chanthirasekaran, K. [4 ]
Awwad, Emad Mahrous [5 ]
Ali, Guma [6 ]
机构
[1] Southwest Jiaotong Univ, Hope Coll, Dept Business, Chengdu, Peoples R China
[2] RMK Engn Coll, Dept Informat Technol, Chennai, India
[3] King Saud Univ, Coll Business Adm, Dept Quantitat Anal, Riyadh, Saudi Arabia
[4] Saveetha Engn Coll, Dept Elect & Commun Engn, Chennai, India
[5] King Saud Univ, Coll Engn, Dept Elect Engn, Riyadh, Saudi Arabia
[6] Saveetha Inst Med & Tech Sci, Saveetha Sch Engn, Dept Comp Sci & Engn, Chennai, Tamilnadu, India
关键词
5G wireless personal area network; device-to-device communication; energy efficient resource allocation; hybrid gazelle with walrus optimization; ENERGY; ALGORITHM;
D O I
10.1002/dac.6092
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
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页数:27
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