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Greedy spectrum sharing for cognitive MIMO networks

机译:认知MIMO网络的贪婪频谱共享

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摘要

Cognitive radio is regarded as an emerging technique developed to enhance the efficiency of spectrum usage. In this paper, we consider a point-to-multipoint secondary network sharing frequency bands with several primary transmitters and receivers. Assuming a cognitive base station equipped with multiple transmit antennas and single antenna receivers, we propose a greedy spectrum sharing algorithm in order to approach the maximum achievable sum rate of the secondary network. First, we model the overall studied system as a weighted graph, and then we formulate the spectrum sharing as a vertex coloring problem. Second, we show that the two problems are similar and we design a greedy algorithm to solve both problems using two selection criteria. We show through computer simulations that the proposed algorithm is able to achieve near-optimal performances with very low computational complexity.
机译:认知无线电被认为是一种新兴技术,旨在提高频谱使用效率。在本文中,我们考虑与几个主发射机和接收机共享频带的点对多点辅助网络。假设认知基站配备了多个发射天线和单个天线接收器,我们提出了一个贪婪频谱共享算法,以达到辅助网络的最大可实现总和率。首先,我们将整个研究系统建模为加权图,然后将频谱共享公式化为顶点着色问题。其次,我们证明这两个问题是相似的,并且我们设计了一种贪婪算法来使用两个选择标准来解决这两个问题。我们通过计算机仿真表明,提出的算法能够以非常低的计算复杂度实现接近最佳的性能。

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