NeTS: Small: Joint Backhaul and Radio Access Design for Heterogeneous Wireless Networks

NeTS：小型：异构无线网络的联合回程和无线接入设计

• 批准号: 1617896
• 负责人: Harpreet Dhillon
• 金额: $ 40万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1617896&HistoricalAwards=false
• 关键词: NeTS; Small; Joint; Backhaul; Radio

Delivering pervasive access to data-hungry wireless applications is contingent upon enabling wireless cellular systems to sustain the foreseen 1000x increase in the demand for wireless capacity. One promising solution is via wireless network densification in which small base stations are deployed at possible adverse locations, such as lamp posts and the sides of the buildings, to significantly boost the wireless capacity. However, reaping the benefits of such dense cellular networks requires devising novel heterogeneous backhaul solutions that can connect the small base stations to the Internet and core network by smartly and jointly exploiting existing, wired infrastructure, as well as new wireless, possibly in-band, backhaul solutions. The key goal of this project is therefore to introduce a fundamentally new cellular network design framework in which elaborate wireless, wired, heterogeneous, and possibly multi-hop backhaul models are tightly integrated with the access networks to facilitate joint analysis, modeling, and optimization of backhaul and radio wireless access. This proposed framework will enable tomorrow's cellular systems to support bandwidth-intensive wireless applications such as mobile high-definition video streaming, thus expediting their global deployment. The proposed research is further coupled with an elaborate educational plan that includes the introduction of an educational program encompassing new courses and student seminar series focused on heterogeneous cellular networks. Moreover, under-represented student groups will be involved in the research via hands-on projects and outreach events, thus contributing to training tomorrow's workforce in the area of wireless communications. The proposed research will introduce a holistic mathematical framework that will lay the foundations of joint backhaul and radio access design in heterogeneous wireless networks. The proposed framework will marry together notions from stochastic geometry, microeconomics, and wireless networks to yield several important outcomes that include: 1) Novel tractable models and quality-of-service (QoS) metrics that will provide an in-depth, fundamental understanding on the performance limits of joint backhaul and access design in heterogeneous networks; 2) Fundamentally new resource management algorithms that can be used to jointly optimize the backhaul and radio access network performance; 3) New resource allocation and network design methodologies, such as joint uplink/downlink optimization with end-to-end QoS guarantees, that can explicitly leverage the opportunities brought forward by the presence of heterogeneous backhaul links; and 4) Validation of the developed theory over software and hardware testbeds. These critical outcomes are expected to break new research ground by providing a truly unified theory for system-wide design of emerging heterogeneous cellular networks.

为数据密集型无线应用提供普遍接入，取决于无线蜂窝系统是否能够维持预期的1000倍无线容量需求增长。一个有前途的解决方案是通过无线网络致密化，其中小型基站部署在可能的不利位置，如灯柱和建筑物的侧面，以显着提高无线容量。然而，获得这种密集蜂窝网络的益处需要设计新颖的异构回程解决方案，该解决方案可以通过巧妙地和联合地利用现有的有线基础设施以及新的无线（可能是带内）回程解决方案来将小型基站连接到互联网和核心网络。因此，该项目的主要目标是引入一个全新的蜂窝网络设计框架，其中精心设计的无线，有线，异构和可能的多跳回程模型与接入网络紧密集成，以促进回程和无线电无线接入的联合分析，建模和优化。这个提议的框架将使未来的蜂窝系统支持带宽密集型无线应用，如移动的高清视频流，从而加快其全球部署。拟议的研究进一步加上一个精心设计的教育计划，其中包括引入一个教育计划，包括新的课程和学生研讨会系列集中在异构蜂窝网络。此外，代表性不足的学生团体将通过动手项目和外联活动参与研究，从而有助于培训未来无线通信领域的劳动力。拟议的研究将引入一个整体的数学框架，为异构无线网络中的联合回程和无线电接入设计奠定基础。该框架将随机几何、微观经济学和无线网络的概念结合在一起，产生几个重要成果，包括：1）新颖的易处理模型和服务质量（QoS）度量，这将提供对异构网络中联合回程和接入设计的性能限制的深入、基本的理解; 2）可以用于联合优化回程和无线电接入网络性能的基本上新的资源管理算法; 3）新的资源分配和网络设计方法，例如具有端到端QoS保证的联合上行链路/下行链路优化，其可以明确地利用由异构回程链路的存在所带来的机会;以及4）在软件和硬件测试平台上验证所开发的理论。这些关键成果有望为新兴异构蜂窝网络的全系统设计提供真正统一的理论，从而开辟新的研究领域。