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A multiuser radio resource allocation scheme for spectrum efficiency maximization in cognitive OFDM ultra wideband radio systems

机译:一种多用户无线电资源分配方案,用于频谱效率最大化在欧姆超宽带无线电系统中的频谱效率最大化

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This paper presents a novel multiuser radio resource allocation scheme for spectrum efficiency maximization in the cognitive OFDM ultra wideband radio systems. We formulate the spectrum efficiency maximization as an NP-hard multidimensional knapsack problem, and we solve the problem by proposing a best-in-greedy approximation algorithm. The proposed approximation algorithm can optimally distribute the radio spectrum, transmitted power and data bits among different cognitive UWB nodes while guaranteeing the aggregate interference power from the UWB nodes to the primary wireless systems is below a certain threshold. A new expression of the aggregate interference power is derived by using the Fenton-Wilkinson method. The performance of the resource allocation scheme is analyzed over the UWB multipath channel models. The results show that the proposed scheme can maximize the spectrum efficiency and is with low complexity.
机译:本文介绍了一种新型多用户无线电资源分配方案,用于频谱效率最大化在DDM超宽带无线电系统中的认知效率。我们将频谱效率最大化为NP - 硬度多维背包问题,并通过提出一种贪婪的近似算法来解决问题。所提出的近似算法可以最佳地分布不同的认知UWB节点之间的无线频谱,传输功率和数据位,同时保证来自UWB节点的聚合干扰电力到主无线系统低于特定阈值。通过使用FENTON-WILKINSON方法来源的聚合干扰功率的新表达。通过UWB多径通道模型分析资源分配方案的性能。结果表明,该方案可以最大化光谱效率,并且具有低复杂性。

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