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Interference cancellation using joint beamforming and power control techniques in cooperative networks

机译:协作网络中使用联合波束成形和功率控制技术的干扰消除

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In this paper, the interference cancellation (IC) techniques are studied for cooperative networks with the interference source if the destination is disturbed by the co-channel interference (CCI). In order to solve such interference problem, the beamforming techniques with the appropriate weight estimation for array antenna at the source will be employed. We can also control the transmitted power at the interference source, and maintain nearly the diversity gain compare with the existing decode and forward protocol. The system performance can be enhanced by adopting the power control strategy at the interference source by channel quality criterion and signal combining techniques. The maximum ratio combining (MRC) and the cooperative maximum ration combining (C-MRC) are used to combine the received signals arrived at the destination to achieve the minimum probability of error based on the experimental results from simulations. The results show proposed IC C-MRC systems had the lower probability of error than MRC because effect from the weighted of received signal from the relay because of the effect of three weighted factors: the BF algorithm for the weighted estimation for the array antenna, the weighting factor of the proposed power control strategy, and the weighted of received signal from the relay.
机译:在本文中,如果目的地受到同信道干扰(CCI)的干扰,则研究针对带有干扰源的协作网络的干扰消除(IC)技术。为了解决这种干扰问题,将采用在源处对阵列天线具有适当权重估计的波束成形技术。我们还可以控制干扰源的发射功率,与现有的解码和转发协议相比,几乎可以保持分集增益。通过采用信道质量准则和信号组合技术,在干扰源处采用功率控制策略,可以提高系统性能。基于模拟的实验结果,最大比率合并(MRC)和协作最大比率合并(C-MRC)用于合并到达目的地的接收信号,以实现最小的错误概率。结果表明,所提出的IC C-MRC系统比MRC具有更低的错误概率,这是因为以下三个加权因素的影响,来自继电器的接收信号的加权影响:BF算法用于阵列天线的加权估计;提出的功率控制策略的加权因子,以及从继电器接收的信号的加权。

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