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。与室外无线传播环境不同，室内无线传播环境取决于内部建筑结构和平面图。这项提议的重点是在两个主要方向上取得进展。第一项涉及使网络灵活适应自身拓扑变化的技术。该方向将利用行业合作伙伴将提供的特定于建筑的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环境RF环境获取能量时开发适当的信令方案。第一个方向的目标是赋予网络灵活的自我配置和自我修复能力。在这一方向下开发的算法将以分布式和自主的方式运行，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、传输参数调度以及重新定位现有BS无线电和引入新无线电的建议的形式，以进一步增强性能和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，利用从环境中收集的射频能量实现高吞吐量。这一方向将导致无线传感器电池补充与数据传输相交错的算法，以最大限度地提高吞吐量和可靠性。同时，我们计划在安大略省卓越中心创新券计划下提交一份补充申请，涵盖5G+室内无线架构和云辅助网络重新配置的安全考虑。

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.