Performance limits and advanced methods in wireless networks

随着从主要的有线通信基础设施向通用的、无系绳的任何地方通信的转变，无线通信和移动的数据已经彻底改变了社会的运作方式。这种自由和几乎任何地方的连接都是以高昂的成本为代价的--昂贵的资本密集型基础设施。尽管有这些巨大的成本和显著的好处，无线网络的许多关键性能特征和使能技术还没有完全理解。本文提出的研究将支持PI正在进行的无线网络长期研究计划，以解决这些问题。具体来说，该计划将结合联合收割机先进的，前沿的无线通信技术与创新的网络部署拓扑结构，如异构和认知网络。这些目标是：i）设计实用网格（或结构化）编码技术和架构的无线网络，ii）研究间歇性能源可靠性的影响（诸如来自可再生能源）和无线网络中的能量收集技术，iii）理解并解决无线网络中的物理层安全性问题，（四）计算非-渐近方法在无线网络中，如从容量回退由于通信延迟的约束。研究结果将有重要的科学意义和技术影响。在科学方面，这项研究旨在描述基本的性能权衡。在技术方面，这项研究产生的见解和算法将为构思和设计未来的网络提供关键的知识。因此，这项研究将提供基准测试，对性能权衡的见解和实用的算法。通过提高在这方面受过培训的人员，这项研究将使加拿大工业保持领先地位。

With the transition from principally wired communication infrastructure towards versatile, tetherless anywhere communication, wireless communication and mobile data have revolutionized the way society functions. This freedom and almost anywhere connectivity comes at a large cost -- that of expensive and capital intensive infrastructure. Despite these large costs and significant benefits, many key performance characteristics and enabling technologies for wireless networks are not completely understood. The research proposed here will support the PI's ongoing long term research program in wireless networks to address these issues.Specifically, this program will combine advanced, cutting edge wireless communication techniques with innovative network deployment topologies, such as heterogeneous and cognitive networks. The thrusts are to: i) design practical lattice (or structured) coding techniques and architectures for wireless networks, ii) study the effect of intermittent energy reliability (such as from renewable energy sources) and energy harvesting technologies in wireless networks, iii) understand and solve issues in physical layer security in wireless networks, and iv) compute the practical effects of non-asymptotic methods in wireless networks such as the backoff from capacity due to constraints on communication delay.The results of the research will have important scientific and technological impacts. On the scientific side, the research aims to characterize fundamental performance tradeoffs. On the technical side, the insights and algorithms resulting from this research will provide the critical knowhow to conceive and engineer future networks. The research will thus provide benchmarks, insights on performance tradeoffs, and practical algorithms. By advancing personnel trained in this knowhow, the research will enable Canadian industry to remain at the leading edge.