重叠认知网络的性能分析与功率分配策略

Chih-Hao Lin, F. Tseng, Chao-Yuan Hsu
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引用次数: 0

摘要

在本文中,我们提出了一种覆盖认知网络的功率分配策略,其中每个节点配备单个天线。由于这种过度策略,辅助用户(SU)可以在辅助传输主用户(PU)数据的同时,通过叠加编码(SC)传输自己的数据。首先分析了PU和SU的误码率,然后在保证PU和SU的误码率的前提下,设计了以总功率最小为目标的功率分配策略。由于误率公式不是凸的,因此难以进行优化。然后,我们提出了两个新的可处理的误码率近似的PU和SU,可以巧妙地将设计转化为一个凸问题。这样就可以得到解。仿真验证了我们的功率分配设计在不同信道环境下的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance analysis and power allocation strategy in overlay cognitive networks
In this paper, we propose a power allocation strategy for overlay cognitive networks, where each node is equipped with single antenna. Owing to the overly strategy, the secondary user (SU) can help transmitting the primary user's (PU) data and meanwhile can convey itself own data with the superposition coding (SC). We first analyze the bit-error-rate (BER) of the PU and the SU Then, the power allocation strategy is devised by minimizing total power, providing that the BER of the PU and that of SU are guaranteed. Since the BER formulations are not convex, the optimization is difficult to conduct. We then propose two new tractable BER approximations for the PU and SU, which can sophisticatedly transfer the design into a convex problem. The solution can thus be obtained. Simulations verify that our power allocation design is validated for different channel environments.
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