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Joint adaptive power allocation and interference suppression algorithms based on the MSER criterion for wireless sensor networks

机译:基于MSER准则的无线传感器网络联合自适应功率分配和干扰抑制算法

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In this study, a two-hop wireless sensor network with multiple relay nodes is considered where the amplify-and-forward (AF) scheme is employed. Two algorithms are presented to jointly consider interference suppression and power allocation (PA) based on the minimization of the symbol error rate (SER) criterion. A stochastic gradient (SG) algorithm is developed on the basis of the minimum-SER (MSER) criterion to jointly update the parameter vectors that allocate the power levels among the relay sensors subject to a total power constraint and the linear receiver. In addition, a conjugate gradient (CG) algorithm is developed on the basis of the SER criterion. A centralized algorithm is designed at the fusion center. Destination nodes transmit the quantized information of the PA vector to the relay nodes through a limited-feedback channel. The complexity and convergence analysis of the proposed algorithms are carried out. Simulation results show that the proposed two adaptive algorithms significantly outperform the other previously reported algorithms.
机译:在这项研究中,考虑了使用中继转发(AF)方案的具有多个中继节点的两跳无线传感器网络。提出了两种算法,以基于最小化符号错误率(SER)准则共同考虑干扰抑制和功率分配(PA)。在最小SER(MSER)准则的基础上,开发了一种随机梯度(SG)算法,以联合更新参数矢量,该参数矢量在受总功率约束的线性传感器和线性接收器之间分配功率水平。此外,基于SER标准开发了共轭梯度(CG)算法。在融合中心设计了集中式算法。目的节点通过有限反馈信道将PA向量的量化信息发送到中继节点。对该算法进行了复杂度和收敛性分析。仿真结果表明,所提出的两种自适应算法明显优于其他先前报道的算法。

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