An Optimal Algorithm for Resource Allocation in D2D Communication

作     者：Shahad Alyousif Mohammed Dauwed Rafal Nader Mohammed Hasan Ali Mustafa Musa Jabar Ahmed Alkhayyat 

作者机构：Research CentreUniversity of MashreqBaghdadIraq College of EngineeringDepartment of Electrical&Electronic EngineeringGulf UniversityAlmasnadKingdom of Bahrain Medical Instrumentation Techniques EngineeringDijlah University CollegeBaghdadIraq Department of PharmacyAl-Mustaqbal University CollegeHilla51001Iraq Computer Techniques Engineering DepartmentFaculty of Information TechnologyImam Ja’afar Al-Sadiq UniversityNajaf10023Iraq Department of Medical Instruments Engineering TechniquesAl-Turath University CollegeBaghdad10021Iraq Department of Medical Instruments Engineering TechniquesAl-Farahidi UniversityBaghdad10021Iraq College of Technical EngineeringThe Islamic UniversityNajafIraq 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2023年第75卷第4期

页      面：531-546页

核心收录：

学科分类：12[管理学] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0831[工学-生物医学工程（可授工学、理学、医学学位）] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 0805[工学-材料科学与工程（可授工学、理学学位）] 0835[工学-软件工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0801[工学-力学（可授工学、理学学位）] 

基　　金：The authors would like to thanks the editors and reviewers for their review and recommendations 

主　　题：D2D communication resource allocation latency optimization 

摘      要：The number of mobile devices accessing wireless networks isskyrocketing due to the rapid advancement of sensors and wireless communicationtechnology. In the upcoming years, it is anticipated that mobile datatraffic would rise even more. The development of a new cellular networkparadigm is being driven by the Internet of Things, smart homes, and moresophisticated applications with greater data rates and latency *** are being used up quickly due to the steady growth of smartphonedevices andmultimedia apps. Computation offloading to either several distantclouds or close mobile devices has consistently improved the performance ofmobile devices. The computation latency can also be decreased by offloadingcomputing duties to edge servers with a specific level of computing ***-to-device (D2D) collaboration can assist in processing small-scaleactivities that are time-sensitive in order to further reduce task delays. The taskoffloading performance is drastically reduced due to the variation of differentperformance capabilities of edge nodes. Therefore, this paper addressed thisproblem and proposed a new method for D2D communication. In thismethod, the time delay is reduced by enabling the edge nodes to exchangedata samples. Simulation results show that the proposed algorithm has betterperformance than traditional algorithm.