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，CR最终将在无线网络（如网状网络和自组织网络）中发挥关键作用。然而，由于其独特的频谱使用特性，CR网络与现有的多通道多无线电（MCMR）网络有很大的不同。因此，CR网络的联网问题更具挑战性和趣味性。该项目的一个主要目标是为未来的认知无线电网络开发网络理论界限和性能限制。这些努力不仅具有理论意义，而且还提供了对此类网络的潜力和局限性的基本理解，并为分布式算法和协议的设计和评估提供了性能基准。新的性能指标，如带宽占用产品（BFP），这是CR所独有的，将与传统的性能指标（如网络容量）一起被采用。将特别考虑干扰建模、功率控制、调度和路由。将开发一个分析框架，允许人们将多维跨层设计空间统一为一个可处理的，可理解的研究问题。我们将通过使用强大的优化技术为给定的网络实例开发有效的计算过程。除了性能界限的理论研究外，我们还计划开发分布式算法以实现最佳的无线电资源利用。该项目的教育目标是为未来基于cr的无线网络开发教材。研究者的目标是开发一门新的课程，将欧洲经委会和计算机科学系的网络、通信和软件课程交叉起来。我们将特别努力让代表性不足的学生以无线暑期学校的形式参与这个项目，以鼓励他们参与。

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.