Optimal Resource Allocation Method for Device-to-Device Communication in 5G Networks
作者机构：Department of Computer ScienceKing Khalid UniversityMuhayel AseerKSA Faculty of Computer and ITSana’a UniversityYemen Department of Electrical EngineeringUniversity of Engineering and TechnologyPeshawarPakistan Department of Medical Instrumentation Techniques EngineeringElectrical Engineering Technical CollegeMiddle Technical UniversityBaghdad10013Iraq Department of Information SystemsKing Khalid UniversityMayahel AseerKSA Department of Computer ScienceCollege of Computers and Information TechnologyUniversity of BishaKSA Department of Software and Communications EngineeringHongik UniversityKorea
出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)
年 卷 期：2022年第71卷第4期
页 面：1-15页
核心收录：
学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
基 金：King Khalid University KKU (RGP.2/25/42)
主 题：D2D communication resource allocation optimization networks
摘 要：With the rapid development of the next-generation mobile network,the number of terminal devices and applications is growing ***,how to obtain a higher data rate,wider network coverage and higher resource utilization in the limited spectrum resources has become the common research goal of ***-to-Device(D2D)communication technology and other frontier communication technologies have ***-to-Device communication technology is the technology that devices in proximity can communicate directly in cellular *** has become one of the key technologies of the fifth-generation mobile communications system(5G).D2D communication technology which is introduced into cellular networks can effectively improve spectrum utilization,enhance network coverage,reduce transmission delay and improve system throughput,but it would also bring complicated and various interferences due to reusing cellular resources at the same *** resource management is one of the most challenging and importing issues to give full play to the advantages of D2D *** resource allocation is an important factor that needs to be addressed in D2D ***,this paper proposes an optimization method based on the game-matching *** main idea is to model the optimization problem of the quality-of-experience based on user fairness and solve it through game-matching *** results show that the proposed algorithm effectively improved the resource allocation and utilization as compared with existing algorithms.
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