{"title":"无小区大规模多输入多输出系统中 URLLC 的联合功率优化和子载波分配","authors":"Longlong Cao;Jiaxing Fang;Yan Wang;Pengcheng Zhu","doi":"10.1109/LCOMM.2024.3452754","DOIUrl":null,"url":null,"abstract":"In this letter, we propose a joint power optimization and subcarrier allocation algorithm for cell-free massive multiple-input multiple-output systems in the ultra-reliable and low-latency communication (URLLC) scenario. Considering the bursty and stochastic character of URLLC traffic, we employ a proactive packet dropping mechanism to address the queueing issue of URLLC packets within deep fading channels, where the required transmit power to guarantee queueing delay and transmission error probability becomes unbounded. Therefore, we formulate an optimization problem to minimize the required maximal transmit power and the queueing delay by optimizing the packet loss policy, power, and bandwidth allocation policies. Simulation results validate our analysis and show that the proposed algorithm can effectively reduce the required maximal transmit power to meet the requirements of URLLC, and that spatial diversity contributes to reducing the complexity of the proposed algorithm.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 10","pages":"2323-2327"},"PeriodicalIF":3.7000,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Joint Power Optimization and Subcarrier Allocation for URLLC in Cell-Free Massive MIMO System\",\"authors\":\"Longlong Cao;Jiaxing Fang;Yan Wang;Pengcheng Zhu\",\"doi\":\"10.1109/LCOMM.2024.3452754\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this letter, we propose a joint power optimization and subcarrier allocation algorithm for cell-free massive multiple-input multiple-output systems in the ultra-reliable and low-latency communication (URLLC) scenario. Considering the bursty and stochastic character of URLLC traffic, we employ a proactive packet dropping mechanism to address the queueing issue of URLLC packets within deep fading channels, where the required transmit power to guarantee queueing delay and transmission error probability becomes unbounded. Therefore, we formulate an optimization problem to minimize the required maximal transmit power and the queueing delay by optimizing the packet loss policy, power, and bandwidth allocation policies. Simulation results validate our analysis and show that the proposed algorithm can effectively reduce the required maximal transmit power to meet the requirements of URLLC, and that spatial diversity contributes to reducing the complexity of the proposed algorithm.\",\"PeriodicalId\":13197,\"journal\":{\"name\":\"IEEE Communications Letters\",\"volume\":\"28 10\",\"pages\":\"2323-2327\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Communications Letters\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10662959/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10662959/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
Joint Power Optimization and Subcarrier Allocation for URLLC in Cell-Free Massive MIMO System
In this letter, we propose a joint power optimization and subcarrier allocation algorithm for cell-free massive multiple-input multiple-output systems in the ultra-reliable and low-latency communication (URLLC) scenario. Considering the bursty and stochastic character of URLLC traffic, we employ a proactive packet dropping mechanism to address the queueing issue of URLLC packets within deep fading channels, where the required transmit power to guarantee queueing delay and transmission error probability becomes unbounded. Therefore, we formulate an optimization problem to minimize the required maximal transmit power and the queueing delay by optimizing the packet loss policy, power, and bandwidth allocation policies. Simulation results validate our analysis and show that the proposed algorithm can effectively reduce the required maximal transmit power to meet the requirements of URLLC, and that spatial diversity contributes to reducing the complexity of the proposed algorithm.
期刊介绍:
The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. 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 communication systems.