{"title":"Joint User Association and Resource Allocation for Smart-Grid-Powered Wireless Networks Under Constrained Carbon Emission","authors":"Xiaojing Chen;Zhuoxiao Chen;Wei Ni;Zhenxu Bai;Shunqing Zhang","doi":"10.1109/LWC.2024.3459010","DOIUrl":null,"url":null,"abstract":"As small base stations (SBSs) are densely deployed to meet the explosive communication demands, the increases in energy consumption and carbon emissions call for the green and sustainable design of next-generation cellular networks. In this letter, we jointly optimize user association and resource allocation for a wireless network powered by a combined smart grid (SG) and renewable energy. We reduce the system transaction cost under constrained carbon emission while ensuring users’ quality-of-service (QoS). Generalizing the stochastic dual-subgradient method, an online resource allocation (ORA) approach is proposed to decide on beamforming and energy trading of SBSs online. A Multi-Attribute Decision Making (MADM)-based user association scheme is developed by leveraging the historical transaction cost of the SBSs derived by the ORA, energy harvesting rates, and distances between the SBSs and users through user mobility prediction. The feasibility and asymptotic optimality of the ORA are analyzed. Simulations show our algorithm cuts down the average system cost by 62.3% compared to the benchmarks.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"13 11","pages":"3217-3221"},"PeriodicalIF":5.5000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Wireless Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10679207/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
As small base stations (SBSs) are densely deployed to meet the explosive communication demands, the increases in energy consumption and carbon emissions call for the green and sustainable design of next-generation cellular networks. In this letter, we jointly optimize user association and resource allocation for a wireless network powered by a combined smart grid (SG) and renewable energy. We reduce the system transaction cost under constrained carbon emission while ensuring users’ quality-of-service (QoS). Generalizing the stochastic dual-subgradient method, an online resource allocation (ORA) approach is proposed to decide on beamforming and energy trading of SBSs online. A Multi-Attribute Decision Making (MADM)-based user association scheme is developed by leveraging the historical transaction cost of the SBSs derived by the ORA, energy harvesting rates, and distances between the SBSs and users through user mobility prediction. The feasibility and asymptotic optimality of the ORA are analyzed. Simulations show our algorithm cuts down the average system cost by 62.3% compared to the benchmarks.
随着小型基站(SBS)的密集部署以满足爆炸性的通信需求,能源消耗和碳排放的增加要求对下一代蜂窝网络进行绿色和可持续的设计。在这封信中,我们共同优化了由智能电网(SG)和可再生能源联合供电的无线网络的用户关联和资源分配。我们在确保用户服务质量(QoS)的同时,降低了碳排放约束下的系统交易成本。在随机双梯度法的基础上,我们提出了一种在线资源分配(ORA)方法,用于在线决定 SBS 的波束成形和能量交易。利用 ORA 得出的 SBS 历史交易成本、能量采集率以及通过用户移动性预测得出的 SBS 与用户之间的距离,开发了基于多属性决策(MADM)的用户关联方案。对 ORA 的可行性和渐进最优性进行了分析。模拟结果表明,与基准相比,我们的算法将平均系统成本降低了 62.3%。
期刊介绍:
IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of wireless communication systems.