NeTS: Large: Collaborative Research: Foundations of Hierarchical Full-Duplex Wireless Networks
NeTS: Large: Collaborative Research: Foundations of Hierarchical Full-Duplex Wireless Networks
批准号:
1314937
负责人:
Suhas Diggavi
金额:
$48.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-07-01 至 2018-06-30
中文摘要
该项目将通过在接入和无线回程中利用全双工传输来开发分层无线网络设计的基本原则。全双工在较短的范围内是最有前途的,因此偶然地与未来网络中预测的主导接入范围保持一致。此外,更大的全双工范围在基础设施到基础设施链路中是可行的,并且因此非常适合于回程链路。虽然全双工与分层网络的关键元素保持一致,但我们目前的设计原则主要是针对半双工传输开发的,这是所有当前网络的基础。考虑到这一点,本项目将通过以下方面来解决分层全双工网络的理论和协议:(1)由节点自身传输到其自身接收器引起的自干扰的数据驱动信号模型,(2)利用自干扰和多跳干扰消除的调度和路由的理论基础;以及(3)用于网络规模全双工资源管理的协议和原型。 全双工打破了当前无线网络中的一个基本设计限制,所有无线网络在时间或频率上都是半双工的;因此,它将改写无线网络的基本原理。此外,该项目的重点是利用莱斯大学广泛的可编程测试平台实现网络,将通过其企业合作伙伴影响下一代无线网络。最后,项目团队将建立一个独特的大学间教育和研究计划,其中包括联合咨询和合作咨询,并利用团队的互补专业知识。
英文摘要
This project will develop foundational principles for hierarchical wireless network design by leveraging full-duplex transmissions in both access and wireless backhaul. Full-duplex is most promising at shorter ranges, and hence is fortuitously aligned with the predicted dominant access range in future networks. Furthermore, larger full-duplex ranges are feasible in infrastructure-to-infrastructure links, and hence are well suited for backhaul links. While full-duplex is well-aligned with the key elements of hierarchical networks, our current design principles are largely developed for half-duplex transmissions which is the basis for all current networks. With that in mind, this project will address both theory and protocols for hierarchical full-duplex networks by looking at: (1) data-driven signal models for self-interference caused by the node's own transmission to its own receiver, (2) theoretical foundations for scheduling and routing that leverage both self-interference and multi-hop interference cancellation; and (3) protocols and prototypes for network scale full-duplex resource management. Full-duplex breaks one of the basic design constraints in current wireless networks, all of which are either half-duplex in time or frequency; it will therefore rewrite wireless networking fundamentals. Further, with emphasis on realizable networks using extensive Rice University's programmable testbeds, the project will impact the next-generation of wireless networks via its corporate partners. Finally, the project team will establish a unique inter-university education and research program, which will include joint advising and collaborative advising and leverage the team's complementary expertise.
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