基于认知无线电的飞基站资源分配

D.-C. Oh, H. Lee, Yong-Hwan Lee
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引用次数: 50

摘要

在本文中,我们考虑在飞蜂窝网络中资源分配,以最大限度地提高吞吐量,同时尽量减少对附近宏蜂窝用户的干扰。这可以通过以认知无线电的方式动态分配频谱资源来实现,避免使用附近宏用户占用的频谱资源。建议的方案包括两个步骤;通道感知和资源调度。femto基站通过分组方式估计子信道中的能量来检测信道占用情况,然后将干扰特征最低的子信道分配给femto用户。提出的资源调度与信道感知相结合的方法可以有效地管理异构干扰问题。最后,通过计算机仿真验证了该方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognitive radio based femtocell resource allocation
In this paper, we consider resource allocation in femtocell networks to maximize the throughput while minimizing interference to macro-cell users nearby. This can be achieved by dynamically allocating the spectrum resource in a cognitive radio way of avoiding the use of spectrum resources occupied by macro-users nearby. The proposed scheme comprises two steps; channel sensing and resource scheduling. The femto base station detects the channel occupation by estimating the energy in sub-channels in a group-wise manner and then allocates sub-channels with the lowest interference signature to femto-users. The proposed resource scheduling combined with channel sensing can effectively manage the heterogeneous interference problem. Finally, the effectiveness of the proposed scheme is verified by computer simulation.
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