Theoretical Derivation and Optimization Verification of BER for Indoor SWIPT Environments

doi:10.3390/sym12071185

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 期刊論文 > Item 987654321/120559

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題名:	Theoretical Derivation and Optimization Verification of BER for Indoor SWIPT Environments
作者:	Chien, Wei;Hsieh, Tzong-Tyng;Chiu, Chien-Ching;Cheng, Yu-Ting;Lee, Yang-Han;Chen, Qiang
關鍵詞:	asynchronous particle swarm optimization;wireless transfer;information and power transfer;Beamforming;broadband;self-adaptive dynamic differential evolution algorithm
日期:	2020-07-17
上傳時間:	2021-04-21 12:10:37 (UTC+8)
摘要:	Symmetrical antenna array is useful for omni bearing beamforming adjustment with multiple receivers. Beam-forming techniques using evolution algorithms have been studied for multi-user resource allocation in simultaneous wireless information and power transfer (SWIPT) systems. In a high-capacity broadband communication system there are many users with wearable devices. A transmitter provides simultaneous wireless information and power to a particular receiver, and the other receivers harvest energy from the radio frequency while being idle. In addition, the ray bounce tracking method is used to estimate the multi-path channel, and the Fourier method is used to perform the time domain conversion. A simple method for reducing the frequency selective effort of the multiple channels using the feed line length instead of the digital phase shifts is proposed. The feed line length and excitation current of the transmitting antennas are adjusted to maximize the energy harvest efficiency under the bit error rate (BER) constraint. We use the time-domain multipath signal to calculate the BER, which includes the inter symbol interference for the wideband system. In addition, we use multi-objective function for optimization. To the best of our knowledge, resource allocation algorithms for this problem have not been reported in the literature. The optimal radiation patterns are synthesized by the asynchronous particle swarm optimization (APSO) and self-adaptive dynamic differential evolution (SADDE) algorithms. Both APSO and SADDE can form good patterns for the receiver for energy harvesting. However, APSO has a faster convergence speed than SADDE.
關聯:	Symmetry 12(7), 1185
DOI:	10.3390/sym12071185
顯示於類別:	[電機工程學系暨研究所] 期刊論文

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