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Resource allocation for heterogeneous cognitive radio networks

机译：异构认知无线电网络的资源分配

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Cognitive radio (CR) network is currently an emerging technology for future wireless communications. In this paper, the problem of resource allocation for heterogeneous users in an underlay CR network is addressed. The objective is to maximize the weighted sum of the data rate for all the categories of secondary users within the network. The problem is first formulated as a non-linear optimization problem which is non-deterministic polynomial-time (NP) hard. The problem is then cleverly re-formulated as an integer linear programming problem and solved through branch-and-bound method. The impact of the weights on the different categories of users is also investigated. The results obtained show that through the approach developed by the authors, optimal resource allocation is achievable for heterogeneous CR networks.
机译：认知无线电（CR）网络当前是用于未来无线通信的新兴技术。在本文中，解决了底层CR网络中为异构用户分配资源的问题。目的是使网络内所有次要用户类别的数据速率的加权总和最大化。首先将该问题表述为非确定性多项式时间（NP）很难解决的非线性优化问题。然后将该问题巧妙地重新表述为整数线性规划问题，并通过分支定界方法加以解决。还研究了权重对不同类别用户的影响。获得的结果表明，通过作者开发的方法，可以为异构CR网络实现最佳的资源分配。

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