journal article·2020-04-30Open access

Multi-Objective Function for SWIPT System by SADDE

Wei Chien, Chien-Ching Chiu, Yu-Ting Cheng, Wei-Lin Fang, Eng Hock Lim

Applied Sciences· Volume 10· Issue 9

Abstract

Simultaneous wireless information and power transfer (SWIPT) optimization with multiple objective function optimization is presented in the millimeter band in this paper. Three different objective functions that are used for harvest power (HP), capacity, and bit error rate (BER) were studied. There are three different nodes in real environment for wireless power transfer (WPT) and SWIPT. The channel estimation calculated by shooting and bouncing ray/image techniques includes multi-path, fading effect, and path-loss in the real environment. We applied beamforming techniques at the transmitter to focus the transmitter energy in order to reduce the multi-path effect and adjust the length of the feed line on each array element in order to find the extremum of the objective functions by the self-adaptive dynamic differential evolution (SADDE) method. Numerical results showed that SWIPT node cannot achieve good performance by single objective function, but wireless power transfer (WPT) can. Nevertheless, both WPT and SWIPT nodes can meet the criteria by the multiple objective function. The harvesting power ratio as well as the BER and capacity can be improved by the multiple objective function to an acceptable level by only reducing a little harvesting energy compared to the best harvesting energy for the single objective function. Finally, the multiple optimization function cannot merely provide good information quality for SWIPT node but achieve good total harvesting power for WPT and SWIPT node as well.
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Research context

OpenAlex topics: Energy Harvesting in Wireless Networks · Advanced MIMO Systems Optimization · Antenna Design and Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of School of Electric and Information Engineering, Beibu Gulf University, Qinzhou 535011, China

Ningde QianWei Industry Technology Co., Ningde 352000, China

Department of Electrical Engineering, Tamkang University, Tamsui 251301, Taiwan

Department of Electrical and Electronic Engineering, Universiti Tunku Abdul Rahman, Bandar Sungai Long, Kajang, Selangor 43000, Malaysia

Funding

Beibu Gulf University of China

References (20)

Show source-provided references
1. Throughput maximization in wireless powered communication networks10.1109/TWC.2013.112513.130760 ↗
2. Resource allocation in SWIPT networks under a nonlinear energy harvesting model: Power efficiency, user fairness, and channel nonreciprocity10.1109/TVT.2018.2848963 ↗
3. Collaborative RF and lightwave power transfer for next-generation wireless networks10.1109/MCOM.001.1900529 ↗
4. Wireless powered communication networks: An overview10.1109/MWC.2016.7462480 ↗
5. Backscatter communications for wireless powered sensor networks with collision resolution10.1109/LWC.2017.2726535 ↗
6. Energy beamforming wireless powered mmWave sensor networks10.1109/JSAC.2018.2872381 ↗
7. Wireless power transfer in mmWave massive MIMO systems with/without rain attenuation10.1109/TCOMM.2018.2799217 ↗
8. Wireless information and power transfer: Architecture design and rate-energy tradeoff10.1109/TCOMM.2013.13.120855 ↗
9. MIMO broadcasting for simultaneous wireless information and power transfer10.1109/TWC.2013.031813.120224 ↗
10. Practical non-linear energy harvesting model and resource allocation for SWIPT systems10.1109/LCOMM.2015.2478460 ↗
11. Performance analysis and optimization for SWIPT wireless sensor networks10.1109/TCOMM.2017.2676815 ↗
12. Multiobjective resource allocation for secure communication in cognitive radio networks with wireless information and power transfer10.1109/TVT.2015.2436334 ↗
13. Resource and task scheduling for SWIPT IoT systems with renewable energy sources10.1109/JIOT.2018.2873658 ↗
14. Shirichian, M., Chamaani, S., Akbarpour, A., and Del Galdo, G. (2018). Analysis and design of broadband simultaneous wireless information and power transfer (SWIPT) system considering rectifier effect. Energies, 11.10.3390/en11092387 ↗
15. Masood, Z., Jung, S.P., and Choi, Y. (2018). Energy-efficiency performance analysis and maximization using wireless energy harvesting in wireless sensor networks. Energies, 11.10.3390/en11112917 ↗
16. Liu, Y., Xiong, K., Zhang, Y., Zhou, L., Lin, F., and Liu, T. (2019). Multi-objective optimization of fog computing assisted wireless powered networks: Joint energy and time minimization. Electronics, 8.10.3390/electronics8020137 ↗
17. Millimeter-wave beamforming as an enabling technology for 5G cellular communications: Theoretical feasibility and prototype results10.1109/MCOM.2014.6736750 ↗
18. Beamforming techniques at both transmitter and receiver for indoor wireless communication
19. Capacity optimization of multi-input/multi-output relay channel by SADDE algorithm10.1007/s12243-019-00708-8 ↗
20. Chien, W., Yu, C.Y., Chiu, C.C., and Huang, P.H. (2018). Optimal location of the access points for MIMO-UWB systems. Appl. Sci., 8.10.3390/app8091509 ↗