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

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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.