Efficient Management and Opportunistic Usage of Radio Spectrum based Graph Theory

支持各种数据应用的巨大增长的需求要求无线网络更加灵活和频谱高效。认知无线电技术允许次级用户接入未充分利用的授权频段，是一种有前途的解决方案。然而，次用户与授权主用户的共存需要仔细和动态的资源管理来处理干扰，这是一个非常具有挑战性的问题。这个项目的主要目标是利用图论/算法来处理这个问题，为一般的共存场景开发有效的资源管理方案。

The tremendous increasing demand to support various data applications requires a wireless network to be more agile and spectral-efficient. Cognitive Radio technology allows secondary users to access the underutilized licensed bands and is a promising solution. However, the coexistence of secondary users with the authorized primary users requires careful and dynamic resource management to deal with interference, which is a very challenging issue. The major objective of this project is to deal with the issue by utilizing graph theory/algorithms to develop efficient resource management schemes for general coexistence scenarios.