CIF: Small: Collaborative Research: Optimal Provision of Backhaul and Radio Access Networks: A Cross-Network Approach

CIF：小型：协作研究：回程和无线接入网络的优化配置：跨网络方法

• 批准号: 1526078
• 负责人: Mingyi Hong
• 金额: $ 18万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1526078&HistoricalAwards=false
• 关键词: CIF; Small; Collaborative; Research; Optimal

The explosive growth in the number of smart consumer devices leads to projections that within 10 years' time, wireless cellular networks need to offer 1000x throughput increase over the current 4G technology. By that time the network should be able to deliver fiber-like user experience boasting 10 Gb/s individual transmission rate for data intensive cloud-based applications. To move such a huge amount of data from the network to the users' handheld devices in real time, revolutionary network infrastructure and advanced network provision are required. Two key enablers of the envisioned future mobile networks are the ultra-dense deployment of base stations and centralized cloud-based processing. This project addresses the challenging problem of managing such densely deployed, cloud-based radio access networks.The proposed research includes the introduction of a unified cross-network framework to manage a cloud-based radio access network. Important aspects of resource management in different sub-networks, including the backhaul and the cloud networks, will be considered. The project focuses on providing theoretical insights as well as designing practical algorithms for the optimal provisioning of a cloud-based radio access network. Fundamental computational issues of key cross-network resource management tasks will be investigated, revealing their intrinsic complexity. Moreover, practical schemes capable of optimally utilizing resources across networks will be developed, using cross-network optimization formulations. These algorithms will be optimized to fully exploit the computational resources offered by the cloud centers, addressing key issues such as parallel/distributed implementation, asynchronous computation, and load balancing. The goal is to determine how computational resources should be deployed through the proposed cross-network framework to dramatically improve the performance of a cloud-based radio access network.

智能消费设备数量的爆炸性增长导致预测，无线蜂窝网络在10年内需要提供比当前4G技术的1000倍吞吐量的增长。到那时，网络应该能够提供类似于基于数据密集型云的应用程序的10 GB/S个性传输率的纤维式用户体验。为了将如此大量的数据从网络实时转移到用户的手持设备，需要革命性的网络基础架构和高级网络提供。所设想的未来移动网络的两个关键推动因素是基础站和基于云的集中处理的超密集部署。该项目解决了管理此类密集的基于云的无线电访问网络的挑战性问题。拟议的研究包括介绍一个统一的跨网络框架来管理基于云的无线电访问网络。将考虑不同子网络中资源管理的重要方面，包括回程和云网络。该项目着重于提供理论见解，并设计实用算法，以最佳的基于云的无线电访问网络。将研究关键跨网络资源管理任务的基本计算问题，揭示其内在的复杂性。此外，将使用跨网络优化公式开发能够最佳利用网络资源的实用方案。这些算法将被优化，以充分利用云中心提供的计算资源，以解决并行/分布式实现，异步计算和负载平衡等关键问题。目的是确定应如何通过建议的跨网络框架部署计算资源，以极大地提高基于云的无线电访问网络的性能。