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Power Allocation for Multiple Input Multiple Output system using Particle swarm optimization

机译:使用粒子群算法的多输入多输出系统功率分配

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Multiple Input Multiple Output(MIMO) system is a new antenna technology in wireless communications. It has several antennas in both transmitting and receiving end and it is a frequency selective for multiple path characteristics. Orthogonal- Frequency- Division-Multiplexing is used to getting higher data rates in wireless communication systems. MIMO with OFDM system is used for converting the frequency selection channels into a parallel combination of frequency flat sub-channels. Due to the atmospheric conditions, some noises such as AWGN are added in the channels. So the system performance will be degraded. To enhance the reliability of the MIMO-OFDM system uses STBC scheme. Here to minimize the BER by allocating the power at transmitter using Particle-Swarm-Optimization (PSO) algorithm. The allocation of power at transmitting end and pilot tones optimization mainly depends on the diagonal matrix which is from the QR-decomposition of the channel matrix. The system performances of the proposed method are analyzed in terms of bit error rate and signal to noise ratio.
机译:多输入多输出(MIMO)系统是无线通信中的一种新型天线技术。它在发送和接收端都有多个天线,并且它是针对多路径特性的频率选择性。正交频分复用技术用于在无线通信系统中获得更高的数据速率。带有OFDM系统的MIMO用于将频率选择信道转换为频率平坦子信道的并行组合。由于大气条件,一些噪声(例如AWGN)会添加到通道中。因此,系统性能将下降。为了提高MIMO-OFDM系统的可靠性,采用了STBC方案。这里通过使用粒子群优化(PSO)算法在发射机处分配功率来最大程度地降低BER。发射端的功率分配和导频音调优化主要取决于对角矩阵,该对角矩阵来自信道矩阵的QR分解。从误码率和信噪比两方面分析了该方法的系统性能。

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