Design and Analysis of Self-Healing Power-Efficient 5G+ Wireless Networks

我们将研究5G+室内无线通信架构的系统层方面，以赋予它们弹性和自动自愈能力。与室外环境不同，室内无线传播环境取决于内部建筑结构和平面图。这项建议的重点是在两个主要方向取得进展。第一个是关于网络灵活适应自身拓扑变化的技术。该方向将利用工业合作伙伴提供的建筑特定布局和相关传播模型。第二个方向涉及当无线节点依赖于从周围RF环境收集能量时适当的信令方案的开发。第一个方向的目标是赋予网络敏捷的自我配置和自我修复能力。在此方向下开发的算法将以分布式和自主方式运行，从而使网络操作和传输功能及时适应拓扑和流量需求的变化。算法的输出将以资源块（RB）分配、传输参数调度以及用于重新定位现有BS无线电和引入新的BS无线电的建议的形式，以进一步增强性能并对抗对网络的干扰影响。第二个方向将侧重于设计适当的信令和传输方案，使用从环境中收集的RF能量实现高吞吐量。这一方向将导致用于将无线传感器的电池补充与数据传输交错的算法，以最大化吞吐量和可靠性。与此项目同时，我们计划根据安大略卓越中心的创新计划提交一份补充申请，该申请将涵盖5G+室内无线架构和云辅助网络重新配置的安全考虑因素。

We will investigate system-layer aspects of 5G+ indoor wireless communications architectures to endow them with resilience and automatic self-healing capabilities. Unlike its outdoor counterpart, the indoor wireless propagation environment depends on internal building structures and floor plans. The focus of this proposal is to make advancements in two main directions. The first pertains to techniques for agile adaptation of the network to changes in its own topology. This direction will make use of building-specific layouts and associated propagation models that will be provided by the industrial partner. The second direction pertains to the development of appropriate signalling schemes when the wireless nodes rely on harvesting energy from the ambient RF environment. The objective of the first direction is to endow the network with agile self configuration and self healing capabilities. The algorithms developed under this direction will operate in a distributed and autonomous fashion whereby the network operational and transmission functionalities are timely adapted to changes in topology and traffic demands. The output of the algorithms will be in the form of resource block (RB) assignments, transmission parameter schedules in addition to recommendations for relocating existing BS radios and introducing new ones to further enhance the performance and combat interference effects on the network. The second direction will focus on devising appropriate signalling and transmission schemes that achieve high throughout using RF energy collected from the environment. This direction will result in algorithms for interlacing the replenishment of the batteries of the wireless sensors with data transmission to maximize throughout and reliability. Concurrently with this project, we plan to submit a complementary application under the Voucher for Innovation Program of the Ontario Centres of Excellence that will cover safety considerations of 5G+ indoor wireless architectures and cloud-assisted network reconfiguration.