{"title":"Mobility-Aware Mode Selection, Relay Selection, and Resource Allocation for D2D Communication","authors":"Toha Ardi Nugraha;Pavel Mach;Zdenek Becvar","doi":"10.1109/TNSE.2025.3559236","DOIUrl":null,"url":null,"abstract":"Mobility management and radio resource management are critical aspects of device-to-device (D2D) communication due to the coexistence of cellular user equipments (CUEs) and D2D user equipments (DUEs) operating within the same spectrum. Therefore, in this paper, we target a problem of D2D communication for mobile users and we address it via joint selection of communication mode (i.e., cellular mode, relay mode, D2D mode), selection of relay, and allocation of resources to maximize the sum rate of D2D pairs while ensuring quality of service for all CUEs. As the formulated problem is a binary integer nonlinear programming problem, which is of very high complexity, we first develop a preliminary greedy approach virtually pre-selecting only mode and relay for each D2D pair. Then, we enhance the preliminary approach towards a comprehensive greedy algorithm for joint mode selection, relay selection, and resource allocation. We also address implementation aspects, including complexity, channel quality acquisition, and signaling message exchange for the management of the proposed solution for mobile users. The simulations demonstrate that our proposed scheme increases the sum rate of D2D pairs by approximately 20% if compared to the best performing related work.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"12 4","pages":"3328-3342"},"PeriodicalIF":6.7000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Network Science and Engineering","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10959731/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Mobility management and radio resource management are critical aspects of device-to-device (D2D) communication due to the coexistence of cellular user equipments (CUEs) and D2D user equipments (DUEs) operating within the same spectrum. Therefore, in this paper, we target a problem of D2D communication for mobile users and we address it via joint selection of communication mode (i.e., cellular mode, relay mode, D2D mode), selection of relay, and allocation of resources to maximize the sum rate of D2D pairs while ensuring quality of service for all CUEs. As the formulated problem is a binary integer nonlinear programming problem, which is of very high complexity, we first develop a preliminary greedy approach virtually pre-selecting only mode and relay for each D2D pair. Then, we enhance the preliminary approach towards a comprehensive greedy algorithm for joint mode selection, relay selection, and resource allocation. We also address implementation aspects, including complexity, channel quality acquisition, and signaling message exchange for the management of the proposed solution for mobile users. The simulations demonstrate that our proposed scheme increases the sum rate of D2D pairs by approximately 20% if compared to the best performing related work.
期刊介绍:
The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.