{"title":"面向O-RAN中海量用户调度的o - du间协调","authors":"Aamir Latif, M. Alam, Y. Moullec","doi":"10.1109/EuCNC/6GSummit58263.2023.10188234","DOIUrl":null,"url":null,"abstract":"Open Radio Access Network (O-RAN) is a de-centralized, intelligent, and open network architecture. RAN Network Functions (RNF) are split into Open Central Unit (O-CU), Open Distributed Unit (O-DU), and Open Radio Unit (O-RU), which are deployed on commercial hardware and cloud nodes as containerized Network Functions (CNFs). This paper presents a coordination architecture between O-RAN Distributed Units (O-DU) for scheduling massive number of users. We propose a Non-Orthogonal Multiple Access (NOMA) based access technique for interference avoidance and scheduling of such massive number of users through a cooperative strategy. This involves sharing individual scheduling tables to compute interference for subsequent User Equipment (UEs) transmissions in the network. The results of the interference calculations are then fed into O-DU schedulers. The scheduler of each O-DU shares the radio resources among the UEs to have minimum interference. The proposed scheme's effectiveness in terms of throughput, energy efficiency, and connectivity is examined through simulations. The results show that the proposed method reduces the effects of interference, making it better suited to the needs of dense deployments. Users operating under the proposed approach experience up to +30% and 10% improvements in achieved user data rates and energy consumption, respectively, when compared to the absence of a coordination architecture.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"56 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Inter O-DUs Coordination for Scheduling of Massive Users in O-RAN\",\"authors\":\"Aamir Latif, M. Alam, Y. Moullec\",\"doi\":\"10.1109/EuCNC/6GSummit58263.2023.10188234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Open Radio Access Network (O-RAN) is a de-centralized, intelligent, and open network architecture. RAN Network Functions (RNF) are split into Open Central Unit (O-CU), Open Distributed Unit (O-DU), and Open Radio Unit (O-RU), which are deployed on commercial hardware and cloud nodes as containerized Network Functions (CNFs). This paper presents a coordination architecture between O-RAN Distributed Units (O-DU) for scheduling massive number of users. We propose a Non-Orthogonal Multiple Access (NOMA) based access technique for interference avoidance and scheduling of such massive number of users through a cooperative strategy. This involves sharing individual scheduling tables to compute interference for subsequent User Equipment (UEs) transmissions in the network. The results of the interference calculations are then fed into O-DU schedulers. The scheduler of each O-DU shares the radio resources among the UEs to have minimum interference. The proposed scheme's effectiveness in terms of throughput, energy efficiency, and connectivity is examined through simulations. The results show that the proposed method reduces the effects of interference, making it better suited to the needs of dense deployments. Users operating under the proposed approach experience up to +30% and 10% improvements in achieved user data rates and energy consumption, respectively, when compared to the absence of a coordination architecture.\",\"PeriodicalId\":65870,\"journal\":{\"name\":\"公共管理高层论坛\",\"volume\":\"56 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"公共管理高层论坛\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188234\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"公共管理高层论坛","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
开放无线接入网(O-RAN)是一种去中心化、智能化、开放性的网络体系结构。RNF (RAN Network Functions)分为O-CU (Open Central Unit)、O-DU (Open Distributed Unit)和O-RU (Open Radio Unit),以cnf (containerized Network Functions)的形式部署在商用硬件和云节点上。提出了一种面向海量用户调度的O-RAN分布式单元(O-DU)协调体系结构。本文提出了一种基于非正交多址(nonorthogonal Multiple Access, NOMA)的接入技术,通过协作策略来避免和调度海量用户的干扰。这包括共享单独的调度表来计算网络中后续用户设备(ue)传输的干扰。然后将干扰计算的结果输入O-DU调度程序。每个O-DU的调度程序在ue之间共享无线电资源,以使干扰最小。通过仿真验证了该方案在吞吐量、能源效率和连通性方面的有效性。结果表明,该方法能有效降低干扰的影响,更适合密集部署的需要。与没有协调架构相比,在拟议方法下运行的用户在实现的用户数据速率和能耗方面分别提高了30%和10%。
Inter O-DUs Coordination for Scheduling of Massive Users in O-RAN
Open Radio Access Network (O-RAN) is a de-centralized, intelligent, and open network architecture. RAN Network Functions (RNF) are split into Open Central Unit (O-CU), Open Distributed Unit (O-DU), and Open Radio Unit (O-RU), which are deployed on commercial hardware and cloud nodes as containerized Network Functions (CNFs). This paper presents a coordination architecture between O-RAN Distributed Units (O-DU) for scheduling massive number of users. We propose a Non-Orthogonal Multiple Access (NOMA) based access technique for interference avoidance and scheduling of such massive number of users through a cooperative strategy. This involves sharing individual scheduling tables to compute interference for subsequent User Equipment (UEs) transmissions in the network. The results of the interference calculations are then fed into O-DU schedulers. The scheduler of each O-DU shares the radio resources among the UEs to have minimum interference. The proposed scheme's effectiveness in terms of throughput, energy efficiency, and connectivity is examined through simulations. The results show that the proposed method reduces the effects of interference, making it better suited to the needs of dense deployments. Users operating under the proposed approach experience up to +30% and 10% improvements in achieved user data rates and energy consumption, respectively, when compared to the absence of a coordination architecture.