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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/140845
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/140845


    Title: Optimization of the Spectrum Splitting and Auction for 5th Generation Mobile Networks to Enhance Quality of Services for IoT From the Perspective of Inclusive Sharing Economy
    Authors: 姜國輝
    Chiang, Johannes K.
    Lin, Chien-Liang;Chiang, Yi-Fang;Su, Yushun
    Contributors: 資管系
    Keywords: 5G ecosystem;spectrum splitting and auction;Internet of Things (IoT);QoS and value;hybrid metaheuristic;cooperative evolution computing
    Date: 2021-12
    Issue Date: 2022-07-11 09:32:21 (UTC+8)
    Abstract: Fifth generation (5G) mobile networks can accomplish enhanced communication capabilities and desired to connect things in addition to people. By means of optimally splitting the spectrum to integrate more efficient segments, mobile operators can deliver better Quality of Services (QoS) for Internet of Things (IoT), even the nowadays so-called metaverse need broadband mobile communication. Drawing on the Theory of Quality Value Transformation, we developed a 5G ecosystem as a sustainable organic coalition constituted of planners, providers, and users. Most importantly, we put forward the altruism as the ethics drive for the organic cooperative evolution to sustain the inclusive sharing economy to solve the problem of the Theory of Games and Economic Behavior. On the top of the collaboration framework for the coalition game for 5G, we adopted Pareto Optimality as the target situation for the optimization via cooperative evolution and further apply ISO 25000 to define the metrics for the value of 5G corresponding to Pareto Frontier. Based on the collaboration framework as above, we conducted a survey to gather the features and costs for the 5G spectrum in relation to IoT and the financial status of the mobile operators as the constraint for the optimization. Taking Simultaneous Multi-Round Auction (SMRA) as the standard rule for spectrum auction, we developed a novel optimization program of two hybrid metaheuristics with the combination of Simulated Annealing (SA), Genetic Algorithm (GA), and Random Optimization (RO) for the multiple objectives of quality, usability, and costs. The results of the simulation show that the coalition game for 5G spectrum auction is a dynamic group decision in which the government authority and mobile operators can achieve a synergy to maximize the profits, quality score, and usability, and minimize the costs. Last but not least, the hybrid metaheuristic with SA and RO is more efficient and effective than that with GA and BO, from the perspective of inclusive sharing economy. It is the first study of its kind as we know.
    Relation: Electronics, 11(1), pp.1-23
    Data Type: article
    DOI 連結: https://doi.org/10.3390/electronics11010003
    DOI: 10.3390/electronics11010003
    Appears in Collections:[資訊管理學系] 期刊論文

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