NeTS-WN: Network Performance Limits for Future Cognitive Radio Networks

随着认知无线电(CR)技术在不久的将来变得更加成熟，不难预见认知无线电最终将在无线网络中发挥关键作用，例如Mesh和adhoc网络。然而，由于CR网络在频谱使用上的独特特性，它与现有的多信道多无线电(MCMR)网络有很大的不同。因此，认知无线电网络的组网问题变得更加具有挑战性和趣味性。本项目的一个主要目标是为未来的认知无线电网络制定网络理论界限和性能限制。这些努力不仅具有理论意义，而且有助于从根本上了解此类网络的潜力和局限性，并为分布式算法和协议的设计和评估提供性能基准。新的性能指标，如CR独有的带宽占用积(BFP)，将与传统的性能指标(如网络容量)一起使用。将特别考虑干扰建模、功率控制、调度和布线。将开发一个分析框架，使人们能够将多维跨层设计空间统一为一个易于处理、易于理解的研究问题。我们将通过对给定网络实例使用强大的优化技术来开发高效的计算程序。除了性能界限的理论研究外，我们还计划开发优化无线资源利用的分布式算法。该项目的教育目标是为未来基于认知无线电的无线网络开发教材。这位调查员的目标是开发一门新课程，将欧洲经委会和计算机科学学院的网络、通信和软件课程结合在一起。将特别努力以无线暑期学校的形式让代表人数不足的群体的学生参与这一项目，以鼓励他们参与这一项目。

As cognitive radio (CR) technology becomes more mature in the near future, it is not hard to foresee that CR will eventually play a pivotal role in wireless networking, such as mesh and ad hoc networks. However, due to its unique characteristics in spectrum usage, a CR network differs significantly from the existing multi-channel multi-radio (MCMR) network. As a result, networking problems for CR networks are much more challenging and interesting.A major objective of this project is to develop network theoretical bounds and performance limits for future cognitive radio networks. Such efforts are not only of theoretical interest, but also offer fundamental understanding of the potential and limits of such networks, as well as provide performance benchmarks for the design and evaluation of distributed algorithms and protocols. New performance metrics such as Bandwidth-Footprint Product (BFP), which is unique to CR, will be employed, along with traditional performance metrics (e.g., network capacity). Special consideration will be given to interference modeling, power control, scheduling, and routing. An analytical framework will be developed that allows one to unify the multi-dimensional cross-layer design space into a tractable, understandable research problem. We will develop efficient computational procedures by employing powerful optimization techniques for given network instances. In addition to theoretical study of performance bounds, we also plan to develop distributed algorithms for optimal radio resource utilization.The educational objective of this project is to develop teaching materials for future CR-based wireless networks. The investigator aims to develop a new course that intersects networking, communications, and software curricula in both the ECE and CS departments. Special efforts will be made to involve students from underrepresented groups in the form of wireless summer school to encourage participation in this project.