II-New: TurboRAN: Testbed for Ultra-Dense- Multi-Band Control and Data Plane Split Radio Access Networks of the Future

II-新：TurboRAN：未来超密集多频段控制和数据平面分离无线接入网络的测试平台

• 批准号: 1730650
• 负责人: Ali Imran
• 金额: $ 100万
• 依托单位: University of Oklahoma Norman Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1730650&HistoricalAwards=false
• 关键词: II; New; TurboRAN; Testbed; Ultra

A key requirement from emerging next-generation (5G) cellular networks is that they must be rapidly adaptable to a broad range of use cases. This problem calls for a big shift in the way cellular radio access network architectures are designed and operated. One way forward is to explore novel radio access architectures such as Control and Data Plane Split Architecture (CDSA), and equip them with next generation Pro-active Self-Organizing Network functions (P-SON). Under this approach, small cells may operate on millimeter wave bands and provide high data rates to users on demand. Overlaid macro-cells that operate on sub-6 Gigahertz (GHz) frequency bands provide control functions to support these users while providing lower data rates. To translate this approach into pragmatic architectures and solutions, there is a need for a purpose-built testbed, as most existing testbeds don't have the flexibility and end-to-end programmability to investigate CDSA and P-SON. This project will develop TurboRAN: Testbed for Ultra-Dense-Multi-Band Control and Data Plane Split Radio Access Networks of the Future that aims to meet these needs. Impacts of TurboRAN include: 1) Enabling experimental research on P-SON, CDSA, and its variants, among various other system-level aspects of 5G wireless systems and beyond, with reproducible results; 2) Validating theoretical- and simulation-based systems research conducted by the wireless community; 3) Providing open access to cellular system control and user planes in a multi-tier cellular network; 4) Training a generation of wireless engineers leveraging innovative and experimental teaching; 5) Testing novel approaches and protocols for developing prototypes and shortening the research cycle towards rapid commercialization trajectory; 6) Developing joint academic-industry programs for conducting research aimed at rapid production uptake and promoting standards and thus acting as an innovation gateway. The proposed project is led by the team at The University of Oklahoma in conjunction with a number of domestic and international academic and industry partners interested in facilitating experimental investigation on future cellular systems.TurboRAN will comprise three layers of cells, supporting operation in sub-6GHz bands as well as in millimeter wave bands, with conventional heterogeneous as well as C-RAN implementation. It will support MIMO, mobile access points and diversity of user devices. In addition to end-to-end programmability and flexibility for modelling a variety of futuristic heterogeneous cellular system scenarios, another unique feature of the TurboRAN project will be the integrated big data processing capability to explore the potential of untapped cellular control and user plane data for designing a proactive next-generation self-organizing network.

新兴的下一代(5G)蜂窝网络的一个关键要求是它们必须能够快速适应广泛的使用案例。这一问题要求蜂窝无线接入网络体系结构的设计和运营方式发生重大转变。一个前进的方向是探索新的无线接入体系结构，如控制和数据平面拆分体系结构(CDSA)，并为它们配备下一代主动自组织网络功能(P-SON)。在这种方法下，小小区可以工作在毫米波频段上，并按需向用户提供高数据速率。工作在6千兆赫(GHz)以下频段的覆盖宏小区提供控制功能以支持这些用户，同时提供较低的数据速率。为了将这种方法转换为实用的体系结构和解决方案，需要一个专门构建的测试床，因为大多数现有的测试床不具备调查CDSA和P-SON的灵活性和端到端可编程性。该项目将开发TurboRAN：未来超密集多频控制和数据平面分裂无线接入网络的试验床，旨在满足这些需求。TurboRAN的影响包括：1)实现对P-SON、CDSA及其变体的实验研究，以及5G无线系统的其他系统级及以上方面，结果可重现；2)验证无线社区进行的基于理论和模拟的系统研究；3)在多层蜂窝网络中提供对蜂窝系统控制和用户平面的开放访问；4)培养利用创新和实验教学的一代无线工程师；5)测试用于开发原型的新方法和协议，并缩短研究周期，走向快速商业化轨道；6)开发学术和行业联合计划，开展旨在快速吸收生产和促进标准的研究，从而成为创新的门户。该项目由俄克拉荷马大学的团队和许多国内外学术和行业合作伙伴共同领导，致力于促进未来蜂窝系统的实验研究。TurboRAN将由三层小区组成，支持在亚6 GHz频段和毫米波频段的操作，并采用传统的异质和C-RAN实现。它将支持MIMO、移动接入点和用户设备的多样性。除了端到端的可编程性和灵活性以模拟各种未来的异质蜂窝系统场景外，TurboRAN项目的另一个独特功能将是集成的大数据处理能力，以探索未开发的蜂窝控制和用户面数据的潜力，以设计主动的下一代自组织网络。

项目成果

A Framework to Address Mobility Management Challenges in Emerging Networks

解决新兴网络中移动管理挑战的框架

• DOI: 10.1109/mwc.015.2100666
• 发表时间: 2023
• 期刊: IEEE Wireless Communications
• 影响因子: 12.9
• 作者: Zaidi, Asad;Farooq, Hasan;Rizwan, Ali;Abu-Dayya, Adnan;Imran, Ali
• 通讯作者: Imran, Ali

Concurrent Optimization of Coverage, Capacity, and Load Balance in HetNets Through Soft and Hard Cell Association Parameters

• DOI: 10.1109/tvt.2018.2846655
• 发表时间: 2018-06
• 期刊: IEEE Transactions on Vehicular Technology
• 影响因子: 6.8
• 作者: Ahmad Asghar;H. Farooq;A. Imran

Deep Learning Based Detection of Sleeping Cells in Next Generation Cellular Networks

• DOI: 10.1109/glocom.2018.8647689
• 发表时间: 2018-12
• 期刊: 2018 IEEE Global Communications Conference (GLOBECOM)
• 作者: Usama Masood;Ahmad Asghar;A. Imran;A. Mian

Leveraging Intelligence from Network CDR Data for Interference Aware Energy Consumption Minimization

• DOI: 10.1109/tmc.2017.2773609
• 发表时间: 2018-07
• 期刊: IEEE Transactions on Mobile Computing
• 影响因子: 7.9
• 作者: A. Zoha;Arsalan Saeed;H. Farooq;A. Rizwan;A. Imran;M. Imran

Towards User QoE-Centric Elastic Cellular Networks: A Game Theoretic Framework for Optimizing Throughput and Energy Efficiency

• DOI: 10.1109/pimrc.2018.8580747
• 发表时间: 2018-09
• 期刊: 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
• 作者: U. Hashmi;A. Islam;K. Nasr;A. Imran