{"title":"基于ofdm的蜂窝系统资源分配与能量管理","authors":"Bin Yu, Piming Ma, Yanbo Ma","doi":"10.1109/ICCS.2016.7833637","DOIUrl":null,"url":null,"abstract":"In this paper, we consider two OFDM-based cellular systems, which can purchase the energy from the renewable energy resource and the conventional grid. And the base station (BS) with sufficient renewable energy can share its energy with the other one. Specifically, we study the scheme of resource allocation and energy management that minimize the sum-cost of the two systems. Under the constraints of the harvested energy of BSs and the target rates of the mobile terminals (MTs), a mixed integer programming problem is formulated. By using a suboptimal subcarrier assignment algorithm with low complexity, the strategy of power allocation, energy purchase and energy sharing is obtained based on the convex optimization theory. Numerical results demonstrate that the total energy consumption of the two systems can be decreased with the proposed resource allocation and energy management scheme.","PeriodicalId":282352,"journal":{"name":"2016 IEEE International Conference on Communication Systems (ICCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Resource allocation and energy management in OFDM-based cellular systems\",\"authors\":\"Bin Yu, Piming Ma, Yanbo Ma\",\"doi\":\"10.1109/ICCS.2016.7833637\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we consider two OFDM-based cellular systems, which can purchase the energy from the renewable energy resource and the conventional grid. And the base station (BS) with sufficient renewable energy can share its energy with the other one. Specifically, we study the scheme of resource allocation and energy management that minimize the sum-cost of the two systems. Under the constraints of the harvested energy of BSs and the target rates of the mobile terminals (MTs), a mixed integer programming problem is formulated. By using a suboptimal subcarrier assignment algorithm with low complexity, the strategy of power allocation, energy purchase and energy sharing is obtained based on the convex optimization theory. Numerical results demonstrate that the total energy consumption of the two systems can be decreased with the proposed resource allocation and energy management scheme.\",\"PeriodicalId\":282352,\"journal\":{\"name\":\"2016 IEEE International Conference on Communication Systems (ICCS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Communication Systems (ICCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCS.2016.7833637\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Communication Systems (ICCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCS.2016.7833637","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Resource allocation and energy management in OFDM-based cellular systems
In this paper, we consider two OFDM-based cellular systems, which can purchase the energy from the renewable energy resource and the conventional grid. And the base station (BS) with sufficient renewable energy can share its energy with the other one. Specifically, we study the scheme of resource allocation and energy management that minimize the sum-cost of the two systems. Under the constraints of the harvested energy of BSs and the target rates of the mobile terminals (MTs), a mixed integer programming problem is formulated. By using a suboptimal subcarrier assignment algorithm with low complexity, the strategy of power allocation, energy purchase and energy sharing is obtained based on the convex optimization theory. Numerical results demonstrate that the total energy consumption of the two systems can be decreased with the proposed resource allocation and energy management scheme.