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Optimisation of PTS technique for PAPR reduction in MIMO-OFDM-based CRNS

机译:基于MIMO-OFDM的CRNS中降低PAPR的PTS技术的优化

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In CRNs, the available spectrum has to be shared between various users, OFDM has a feature that supports multiuser access by assigning subcarriers to different users. In wireless transmissions, PAPR is the key challenge in OFDM that affects the BER. In this paper, the main focus is on PTS. The drawback of existing PTS technique is that the number of multiplications of IFFT sub-sequences with the phase vectors required in it are very high. To reduce computational complexity, optimisation is performed. BPSO is used to find optimised phase vector. This phase vector will be one having reduced PAPR. The purpose is to find out the absolute convergence of MIMO multiplexing to reduce the internal phase to phase PAPR in cognitive radio based networks. Results show that in case of PTS-BPSO error reduces at higher rate with less PAPR. BER is reduced at different SNR values as compared to conventional approach.
机译:在CRN中,必须在各个用户之间共享可用频谱,OFDM具有通过将子载波分配给不同用户来支持多用户访问的功能。在无线传输中,PAPR是影响BER的OFDM的关键挑战。在本文中,主要重点是PTS。现有PTS技术的缺点在于,IFFT子序列与其中所需的相位矢量的相乘数量非常高。为了降低计算复杂度,执行优化。 BPSO用于找到优化的相位矢量。该相位矢量将是具有降低的PAPR的相位矢量。目的是找出基于认知无线电的网络中MIMO复用的绝对收敛,以减少内部相位到相位的PAPR。结果表明,在PTS-BPSO情况下,PAPR越小,错误率越高。与传统方法相比,BER在不同的SNR值下降低了。

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