Different Object Functions for SWIPT Optimization by SADDE and APSO

Symmetry

Po-Hsiang Chen¹  Chien-Ching Chiu¹  Yu-Ting Cheng¹  Eng Hock Lim²  Jia-Rui Wang³  Yue-Li Liang⁴  Wei Chien⁴ 

[1] Department of Electrical and Computer and Engineering, Tamkang University, New Taipei City 251301, Taiwan;Department of Electrical and Electronic, University Tunku Abdul Rahman, Selangor 43000, Malaysia;Department of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China;Department of School of Electric and Information Engineering, Beibu Gulf University, Qinzhou 535000, China;

关键词: simultaneous wireless information and power transfer (SWIPT);    bit error rate (BER);    evolution algorithms;    harvesting power (HP);    ray-tracing;   

DOI  :  10.3390/sym13081340

来源: DOAJ

【 摘 要 】

Multiple objective function with beamforming techniques by algorithms have been studied for the Simultaneous Wireless Information and Power Transfer (SWIPT) technology at millimeter wave. Using the feed length to adjust the phase for different objects of SWIPT with Bit Error Rate (BER) and Harvesting Power (HP) are investigated in the broadband communication. Symmetrical antenna array is useful for omni bearing beamforming adjustment with multiple receivers. Self-Adaptive Dynamic Differential Evolution (SADDE) and Asynchronous Particle Swarm Optimization (APSO) are used to optimize the feed length of the antenna array. Two different object functions are proposed in the paper. The first one is the weighting factor multiplying the constraint BER and HP plus HP. The second one is the constraint BER multiplying HP. Simulations show that the first object function is capable of optimizing the total harvesting power under the BER constraint and APSO can quickly converges quicker than SADDE. However, the weighting for the final object function requires a pretest in advance, whereas the second object function does not need to set the weighting case by case and the searching is more efficient than the first one. From the numerical results, the proposed criterion can achieve the SWIPT requirement. Thus, we can use the novel proposed criterion (the second criterion) to optimize the SWIPT problem without testing the weighting case by case.

【 授权许可】

Unknown