{"title":"Intelligent Cloud-Edge Collaboration for Mixed Continuous-Discrete Resource Allocation in Heterogeneous Networks","authors":"Lin Zhang;Fucheng Zhai;Chang Liu;Ming Xiao","doi":"10.1109/TWC.2024.3483291","DOIUrl":null,"url":null,"abstract":"Joint channel selection and power control (JCSPC) is important to manage the interference in a heterogeneous network (HetNet), which consists of multiple base station (BS) and user equipment (UE) pairs. The JCSPC problem involves in a mixed continuous-discrete resource allocation and is typically NP-hard. Conventional methods usually obtain a quasi-optimal solution of the JCSPC problem in a centralized manner by assuming that the instantaneous global channel state information (CSI) is available. However, it is demanding to collect the instantaneous global CSI in practical scenarios. In this paper, we develop an intelligent cloud-edge collaboration assisted JCSPC algorithm. With the new algorithm, each BS can independently optimize its JCSPC policy with only local information, meanwhile enhance the sum-rate of the whole HetNet. Simulation results show that the proposed algorithm can achieve comparable and even better average sum-rate performance to the quasi-optimal method with a much lower time complexity.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"23 12","pages":"19412-19427"},"PeriodicalIF":10.7000,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Wireless Communications","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10736395/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Joint channel selection and power control (JCSPC) is important to manage the interference in a heterogeneous network (HetNet), which consists of multiple base station (BS) and user equipment (UE) pairs. The JCSPC problem involves in a mixed continuous-discrete resource allocation and is typically NP-hard. Conventional methods usually obtain a quasi-optimal solution of the JCSPC problem in a centralized manner by assuming that the instantaneous global channel state information (CSI) is available. However, it is demanding to collect the instantaneous global CSI in practical scenarios. In this paper, we develop an intelligent cloud-edge collaboration assisted JCSPC algorithm. With the new algorithm, each BS can independently optimize its JCSPC policy with only local information, meanwhile enhance the sum-rate of the whole HetNet. Simulation results show that the proposed algorithm can achieve comparable and even better average sum-rate performance to the quasi-optimal method with a much lower time complexity.
期刊介绍:
The IEEE Transactions on Wireless Communications is a prestigious publication that showcases cutting-edge advancements in wireless communications. It welcomes both theoretical and practical contributions in various areas. The scope of the Transactions encompasses a wide range of topics, including modulation and coding, detection and estimation, propagation and channel characterization, and diversity techniques. The journal also emphasizes the physical and link layer communication aspects of network architectures and protocols.
The journal is open to papers on specific topics or non-traditional topics related to specific application areas. This includes simulation tools and methodologies, orthogonal frequency division multiplexing, MIMO systems, and wireless over optical technologies.
Overall, the IEEE Transactions on Wireless Communications serves as a platform for high-quality manuscripts that push the boundaries of wireless communications and contribute to advancements in the field.