Resource management and medium access control in multi-hop cognitive wireless networks

对无线通信的需求不断增长，这就要求智能、经济地使用无线资源(频谱、基础设施等)。为了提高系统容量，研究集中在两个新领域：多跳通信和认知无线电。该项目的目标是解决多跳网络和认知无线电相结合的资源管理和媒体访问控制功能，以提供下一代大容量无线技术。该项目解决了与源和目的地之间的多个无线跳跃相关的资源管理(信道/功率/空中接口选择和调度)问题，以及由认知无线电实现的每跳多个空中接口(W广域、无线局域网、PAN)之一的动态选择。该项目将专注于通过使用资源管理算法来最大化此类无线环境中的覆盖和容量，这些算法利用网络中的认知知识(干扰条件、频谱和空中接口使用情况)，如果可用的话。该项目的补充部分解决了具有多跳通信的多空中接口认知无线电网络中的媒体访问控制(MAC)。通常，MAC特定于空中接口。在认知无线电系统中，通过利用可用的认知知识来提供跨不同物理层的媒体访问控制的最有效手段的优化设计是另一个没有受到太多关注的领域，特别是从支持多跳通信的角度来看。这项研究的目的是推动这一领域的发展，使认知智能能够在多空中接口、多跳系统中的无线电接口的所有层中得到利用。上述研究将结合分析工具和模拟工具进行。该项目的成果将为多跳认知无线电网络领域的下一代标准提供一个演进的愿景。

The demand for wireless communications is growing, requiring intelligent and economical use of wireless resources (spectrum, infrastructure, etc.). To improve system capacity, research has been focused towards two new areas: multi-hop communications and cognitive radios. This project's objective is to address the resource management and medium access control functions for the combination of multi-hop networks and cognitive radios to deliver the next-generation of high-capacity wireless technology.This project addresses the resource management (channel/power/air_interface selection and scheduling) problem pertaining to multiple wireless hops between source and destination and the dynamic choice of one of multiple air interfaces (WWAN, WLAN, PAN) per hop enabled by cognitive radios. The project will focus on maximizing coverage and capacity in such a wireless environment by using resource management algorithms that exploit the cognitive knowledge (interference conditions, spectrum and air interface usage) in the networks, when available. A complementary part of this project addresses Medium Access Control (MAC)in multi-air-interface cognitive radio networks with multi hop communications. Typically, MAC is specific to the air interface. In a cognitive radio system, the optimal design of the most efficient means of delivering medium access control across diverse physical layers by exploiting the available cognitive knowledge is another area which has not received much attention, particularly from the perspective of supporting multi-hop communications. It is the intent of this research to progress this area to enable the cognitive intelligence to be exploited across all layers of the radio interface in a multi-air-interface, multi-hop system. The above research will be conducted with a combination of analytical tools and simulation tools. The outcomes of the project will provide an evolutionary vision for next generation standards in the area of multi-hop cognitive radio networks.