Design and Optimization of Dual-Band Branch-Line Coupler with Stepped-Impedance-Stub for 5G Applications
Volume 5, Issue 3, Page No 355–360, 2020
Adv. Sci. Technol. Eng. Syst. J. 5(3), 355–360 (2020);
DOI: 10.25046/aj050346
Keywords: Optimization, Tuning, Dual-Band, Branch-Line Coupler, 5G
This paper presents a design optimization of a dual-band branch-line coupler with stepped-impedance-stub lines. This coupler operates over 5G NR frequency bands n5 and n2, developed by 3GPP for the 5G (fifth generation) mobile network, and these two bands are centered at 0.85 GHz and 1.9 GHz respectively. To achieve the design specifications an adjusted Tuning Space Mapping method is used. This method of optimization moves the hardship of optimization from high-fidelity electromagnetic models to low-fidelity tuning models. The simulated and measured results of this enhanced coupler show good dual-band performance at the two bands.
1. Introduction
The request for mobile communication is more than ever. For this reason, many researchers have focused on the development of a new generation of communication. 5G NR is a new radio access technology developed by 3GPP for the 5G mobile network. We designed the coupler to function in the two bands n5 and n2 from the 3GPP TS 38.101 [1].
Branch-line couplers (BLC) offer a π/2 power splitting and phase difference, which is suitable in different microwave circuits like power combined amplifiers, phase shifters, data modulators, and balanced mixers [2]. There are different dual-band BLC design that exists in the literature [3-9]. In this work, we use stepped-impedance-stub branches lines (SISBL) for dual-band operation. [10].
This work presents the design of a dual-band BLC with SISBL, designed for 5G NR frequency bands downlink [n2= (0.869 –0.894 GHz) / (n5= (1.930–1.990 GHz)], this bands developed by 3GPP for the 5G (fifth generation) mobile network and centered at 0.85 GHz and 1.9 GHz respectively [1].5G NR, like most modern techniques, demands height accuracy. In many situations like ours, due to microwave structure complexity of SISBL dual-band BLC, the theoretical model only gives the initial design that requires optimization so he can meet the design specifications. In our case, for the optimization, we use an adjusted Tuning Space Mapping, the adjustment is made in the tuning model using our engineering expertise and knowledge of the design problem. The advantage is to reduce time-consuming. The enhanced characteristics of this Dual-Band BLC with SISBL are presented.
The simulated results of this enhanced dual-band BLC show good dual-band performances at n5/n2. The performance of its fabricated prototype has also been validated experimentally.
2. Dual-Band BLC with SISBL
Figure 1.a presents the SISBL containing a signal path (Z3, θ3) tapped with (Z1, θ1) and (Z2, θ2) [10]. By multiplying the ABCD matrices of each cascade component, the ABCD matrix of the SISBL is reached. Since the dual-band branch line behaves as a π/2 line at center frequencies of the two bands (fp and fs), the ABCD matrix is formulated as (1).

Where J the characteristic admittance of the π/2 line

Figure 1. a: Dual-band SISBL; b: The dual-band BLC with SISBL.
The circuit dimensions of the SISBL Figure 1.b can be determined by solving the following equations (1)-(4). Where (θ1, θ2, θ3) the electrical lengths of the lines (1,2,3) respectively, and (Z1, Z2, Z3) the impedances of the lines (1,2,3).

Equation (4) has only θ2 for variable since the constants U, R and rf can be pre-chosen. θ2 is found using the graph of each side of the equation (4).
Figure 2 presents the variation of the impedances Z1 and Z2 versus frequency ration rf when R and U are both 0.2. That figure shows that both Z1 and Z2 increase as rf increases. Since only an impedance of 20–120 Ω can be realized using microstrip, the range of rf is limited to 1.9<rf<2.5.

Figure 2: Variation of Z1 and Z2 versus rf. (a) Dual-band 50 Ω branch line. (b). Dual-band 50/√2 Ω branch line
3. Tuning Space Mapping
The utilize of electromagnetic software for design optimization can be problematic, because EM simulations are rigorous. By shifting the optimization load onto a coarse model, for example, a circuit equivalent, space mapping (SM) reduces the computational rate of EM simulation. Over an iterative optimization and updating of the low fidelity models, SM achieves efficient optimization. [11].
Tuning space mapping such as SM belongs to a family of surrogate-based optimization techniques [12-23]. However, the role of the surrogate model is replaced by a so-called tuning model. By introducing tuning components (circuit-theory base components) into the fine model structure, the tuning model is built up. The original optimization problem is as follow [15]:
Where Rf ∈ Rm is the response vector, U is an objective function, x is the vector of design parameters, and is the optimal solution.
At i-th iteration, a tuning model is constructed based on the fine model data. The alignment process to eliminate the gap between the tuning model response and the response of the fine model at i, it is formulated as:

4. Results and Discussion
We chose (U, R) = (0.2,0.2), the dimensions of this dual-band BLC have been computed with the use of (2)-(5). Figure 3 illustrates the intersecting points of each side of the equation (4).
The length electric from Figure 3 is θ2=72.68°. The other circuit dimensions (Z1, θ1, Z2, Z3, θ3) of both the 50Ω and 50Ω/√2 branches of the coupler are computed from equations (2), (3) and (4).
The design parameters are x = [L0 L11 L21 L31 L12 L22 L32] T mm. The fine model, as shown in Figure 4, is simulated using a substrate of εr = 4, height H =1.4 mm and loss tangent= 0.0004.
Figure 6 shows that S11 and S14 for the second band are below -10dB from 1.76 GHz to 1.88GHz, this is not the entire [1.930 GHz–1.990 GHz] band. And in the same range, the phase difference between output ports (2 and 3) is not 90 °± 10°. For better performance, optimization is needed.
To build the tuning model, we first simulate the fine model with the co-calibrated ports Figure 5, the corresponding S44P data file is charged into a 44-port S-parameter file component in the tuning model. After that, an appropriate circuit component is attached to the corresponding ports on the S-parameter component; the tuning parameters are xt = [Lt0 Lt11 Lt21 Lt31 Lt12 Lt22 Lt32] Tmm.
The tuning parameters obtained after optimized the tuning model are xt.1 (0) = [0.632 -0.73 -2.583 0.343 -2.945 -1.291 -3.884] Tmm. With the use of a direct calibration the optimal values of the tuning parameters are converted to the adjustments of the design parameters in a direct manner. After the first iteration, the new design x (1) = [50.9392 6.75824 38.7104 61.2757 4.45566 38.9794 51.5329] T mm has already satisfied the design specifications Figure 7.
Figure 7 shows that the simulated S11 and S14 are less than -11dB, within the frequency range of 0.82-0.92 GHz (first band), and within 1.88-2 GHz (second band). Within a similar frequency range, the coupling coefficient is 3 ± 1 dB, the transmission coefficient is 3 ± 1 dB, and the phase difference between output ports (2 and 3) is 90 °± 10°. TABLE I summarized the performances of this dual-band BLC.

Figure 3: Solutions to (4) for θ2 of SISBL

Figure 4: The fine model.

Figure 5: The fine model divided
Figure 8 shows the photograph of the prototype of the enhanced dual-band BLC fabricated using an LPKF machine. As we can see, its structure is relatively simple as it can be fabricated on a single layer printed circuit board with a simple ground plane.
The measurements of the fabricated prototype are done using 1-Port USB Vector Network Analyzer. Figure 9 plots the simulated and measured (S11), it shows that there is a good match between simulated and measured S11 of this enhanced dual-band BLC.
TABLE I summarized, the results of the simulation for the initial and the optimized dual-band BLC performance, also the measurements of the fabricated prototype. The optimized dual-band BLC shows better performances for both 5G NR bands, which the initial does not do.

Figure 6. The Initial fine model response; a:S-paramertres b: phase difference between Port2 and 3

Figure 7: The Optimized fine model response; a:S-paramertres b: phase difference between Port2 and 3.
Table 1: The simulated and measured results
| Parameter | Initial
First band |
Initial
Second band |
Optimized
First band |
Optimized
Second band |
Measured
First band |
Measured Second band |
| S11 (dB) | <-10 dB | <-10 dB | <-10dB | <-10dB | <-10dB | <-10dB |
| S12 (dB) | 3 ± 1 dB | 3 ± 1 dB | 3 ± 1 dB | 3 ± 1 dB | – | – |
| S13 (dB) | 3 ± 1 dB | 3 ± 1 dB | 3 ± 1 dB | 3 ± 1 dB | – | – |
| S14 (dB) | <-10 dB | <-10 dB | <-10dB | <-10dB | <-10dB | <-10dB |
| Phase
difference |
90° ± 10° | 90° ± 10° | 90° ± 10° | 90° ± 10° | – | – |
| Operating
frequency (GHz) |
0.76-0.84 | 1.76-1.88 | 0.8-0.92 | 1.88-2 | 0.8-0.94 | 1.84-2.04 |

Figure 8: Photograph of the fabricated prototype

Figure 9: simulated and measured S11
5. Conclusion
A dual-band BLC with SISBL for 5G NR applications has been designed. The coupler performance is further improved through optimization of his physical dimensions, using an adjusted Tuning Space Mapping to work for more complex microwave circuits such as our design. The simulated and measured results show that S11 are less than -11dB, within the frequency range of 0.82-0.92 GHz (first band), and within 1.88-2 GHz (second band). The method used permits rapid optimization with accurate results obtained after only one iteration.
- 3GPP specification series: 38series.url: https://www.3gpp.org/DynaReport/ 38-series.htm (visited on 20/17/2020)
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- Sathyabama Kaliyapillai, Saruladha Krishnamurthy, "Differential Evolution based Hyperparameters Tuned Deep Learning Models for Disease Diagnosis and Classification", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 253–261, 2020. doi: 10.25046/aj050531
- Sanaz Gheibi, Tania Banerjee, Sanjay Ranka, Sartaj Sahni, "Fine Tuning the Performance of Parallel Codes", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 4, pp. 824–840, 2020. doi: 10.25046/aj050497
- Rand Talib, Alexander Rodrigues, Nabil Nassif, "Energy Recovery Equipment and Control Strategies in Various Climate Regions", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 4, pp. 47–53, 2020. doi: 10.25046/aj050407
- Pham Van Bach Ngoc, Bui Trung Thanh, "Dynamics Model and Design of SMC-type-PID Control for 4DOF Car Motion Simulator", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 3, pp. 557–562, 2020. doi: 10.25046/aj050369
- Abdelhafid Es-Saqy, Maryam Abata, Mohammed Fattah, Said Mazer, Mahmoud Mehdi, Moulhime El Bekkali, Catherine Algani, "5G mm-wave Band pHEMT VCO with Ultralow PN", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 3, pp. 487–492, 2020. doi: 10.25046/aj050360
- J. Vijay Fidelis, E. Karthikeyan, "Estimation of Influential Parameter Using Gravitational Search Optimization Algorithm for Soccer", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 3, pp. 340–348, 2020. doi: 10.25046/aj050344
- Jesuretnam Josemila Baby, James Rose Jeba, "A Hybrid Approach for Intrusion Detection using Integrated K-Means based ANN with PSO Optimization", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 3, pp. 317–323, 2020. doi: 10.25046/aj050341
- Noraziah Adzhar, Yuhani Yusof, Muhammad Azrin Ahmad, "A Review on Autonomous Mobile Robot Path Planning Algorithms", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 3, pp. 236–240, 2020. doi: 10.25046/aj050330
- Vasiliy Olonichev, Boris Staroverov, Maxim Smirnov, "Dynamic Objects Parameter Estimation Program for ARM Processors Based Adaptive Controllers", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 3, pp. 34–40, 2020. doi: 10.25046/aj050305
- Ricardo Simões Santos, António João Pina da Costa Feliciano Abreu, Joaquim José Rodrigues Monteiro, "Using Metaheuristics-Based Methods to Provide Sustainable Market Solutions, Suitable to Consumer Needs", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 2, pp. 399–410, 2020. doi: 10.25046/aj050252
- Hind El Hassani, Nour- Eddine Boutammachte, Sanae El Hassani, "Optimization of Low Temperature Differential Stirling Engine Regenerator Design", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 2, pp. 272–279, 2020. doi: 10.25046/aj050235
- Lenin G. Falconi, Maria Perez, Wilbert G. Aguilar, Aura Conci, "Transfer Learning and Fine Tuning in Breast Mammogram Abnormalities Classification on CBIS-DDSM Database", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 2, pp. 154–165, 2020. doi: 10.25046/aj050220
- Nguyen Tuan Anh, Hoang Thang Binh, Tran The Tran, "Optimization of the Stabilizer Bar by Using Total Scores Method", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 1, pp. 431–435, 2020. doi: 10.25046/aj050155
- Temitayo Olayemi Olowu, Mohamadsaleh Jafari, Arif Sarwat, "A Multi-Objective Voltage Optimization Technique in Distribution Feeders with High Photovoltaic Penetration", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 6, pp. 377–385, 2019. doi: 10.25046/aj040648
- Mohd Razif Idris, Imad Mokhtar Mosrati, "Optimization of the Electrical Discharge Machining of Powdered Metallurgical High-Speed Steel Alloy using Genetic Algorithms", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 6, pp. 255–262, 2019. doi: 10.25046/aj040632
- Jalal Benallal, Lekbir Cherif, Mohamed Chentouf, Mohammed Darmi, Rachid Elgouri, Nabil Hmina, "A New Wire Optimization Approach for Power Reduction in Advanced Technology Nodes", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 6, pp. 140–146, 2019. doi: 10.25046/aj040617
- Andrei Panteleev, Valentin Panovskiy, "Application of Open-Source Optimization Library “Extremum” to the Synthesis of Feedback Control of a Satellite", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 5, pp. 23–29, 2019. doi: 10.25046/aj040503
- Houcine Marouani, Amin Sallem, Mondher Chaoui, Pedro Pereira, Nouri Masmoudi, "Multiple-Optimization based-design of RF Integrated Inductors", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 4, pp. 574–584, 2019. doi: 10.25046/aj040468
- Jaya V. Gaitonde, Rajesh B. Lohani, "Material, Structural Optimization and Analysis of Visible-Range Back-Illuminated OPFET photodetector", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 4, pp. 485–502, 2019. doi: 10.25046/aj040459
- Sanae El Hassani, Hind El Hassani, Noureddine Boutammachte, "Overview on 5G Radio Frequency Energy Harvesting", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 4, pp. 328–346, 2019. doi: 10.25046/aj040442
- Olfa Jedda, Ali Douik, "Optimal Discrete-time Sliding Mode Control for Nonlinear Systems Subject to Input Constraints", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 4, pp. 141–146, 2019. doi: 10.25046/aj040417
- Maria Moussa, Mervat Madi, Karim Kabalan, "Frequency-Tunable Narrow-Band Ladder-Shape Microstrip Patch Antenna for TV Applications", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 4, pp. 51–57, 2019. doi: 10.25046/aj040407
- Jongsin Kim, Yonggil Choi, Younghoon Oh, "The Study of PSi & PSo Algorithm for Reducing Power of the Mobile Communication Network", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 4, pp. 47–50, 2019. doi: 10.25046/aj040406
- Ethmane Isselem Arbih Mahmoud, Mohamed Maaroufi, Abdel Kader Mahmoud, Ahmed Yahfdhou, "Optimization of Statcom in a Nouakchott Power System", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 2, pp. 333–339, 2019. doi: 10.25046/aj040242
- Binwei Wu, Lu Ge, Jie Zeng, Xiangyun Zheng, Youxi Tang, Xin Su, "An Innovative EPC Architecture based on Not Only Stack for beyond 5G Mobile Networks", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 2, pp. 319–332, 2019. doi: 10.25046/aj040241
- James Robert Pogge, Stephen lucien Scott, "Enabling the Edge – A method for dynamic virtualizable connections for 5G deployments", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 2, pp. 270–279, 2019. doi: 10.25046/aj040235
- Uttam S. Satpute, Diwakar R. Joshi, Shruti Gunaga, "Frequency-Based Design of Electric System for Off-shore Wind Power Plant (OWPP)", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 2, pp. 153–161, 2019. doi: 10.25046/aj040220
- Gabriel Dämmer, Sven Gablenz, Alexander Hildebrandt, Zoltan Major, "Design of an Additively Manufacturable Multi-Material Light-Weight Gripper with integrated Bellows Actuators", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 2, pp. 23–33, 2019. doi: 10.25046/aj040204
- Evgenia Kapassa, Marios Touloupou, Panagiotis Stavrianos, Georgios Xylouris, Dimosthenis Kyriazis, "Managing and Optimizing Quality of Service in 5G Environments Across the Complete SLA Lifecycle", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 1, pp. 329–342, 2019. doi: 10.25046/aj040132
- Nikolay Starostin, Konstantin Mironov, "Strategies of the Level-By-Level Approach to the Minimal Route", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 1, pp. 268–281, 2019. doi: 10.25046/aj040126
- Hiroyuki Yamamoto, Tomohiro Hayashida, Ichiro Nishizaki, Shinya Sekizaki, "Hypervolume-Based Multi-Objective Reinforcement Learning: Interactive Approach", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 1, pp. 93–100, 2019. doi: 10.25046/aj040110
- Masahiro Kanazaki, Yusuke Yamada, Masaki Nakamiya, "Multi-Objective Path Optimization of a Satellite for Multiple Active Space Debris Removal Based on a Method for the Travelling Serviceman Problem", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 6, pp. 479–488, 2018. doi: 10.25046/aj030656
- Chika Yinka-Banjo, Babatunde Opesemowo, "Metaheuristics for Solving Facility Location Optimization Problem in Lagos, Nigeria", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 6, pp. 319–323, 2018. doi: 10.25046/aj030639
- Mohammad Harun Rashid, Lixin Tao, "Parallelizing Combinatorial Optimization Heuristics with GPUs", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 6, pp. 265–280, 2018. doi: 10.25046/aj030635
- Saori Nakagawa, Takeshi Yamasaki, Hiroyuki Takano, Isao Yamaguchi, "Guidance Law Based on Line-of-Sight Rate Information Considering Uncertain Modeled Dynamics", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 6, pp. 195–203, 2018. doi: 10.25046/aj030626
- Wiem Zouari, Ines Alaya, Moncef Tagina, "A Comparative Study of a Hybrid Ant Colony Algorithm MMACS for the Strongly Correlated Knapsack Problem", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 6, pp. 1–22, 2018. doi: 10.25046/aj030601
- Jamal Al Sadi, "Designing Experiments: 3 Level Full Factorial Design and Variation of Processing Parameters Methods for Polymer Colors", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 5, pp. 109–115, 2018. doi: 10.25046/aj030515
- Ryosuke Nakano, Yuta Takeuchi, Mikio Tsuji, Hiroyuki Deguchi, "Improvement of Transmission Characteristics in Multilayer Dual Band Filter", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 5, pp. 16–22, 2018. doi: 10.25046/aj030503
- Yasushi Itoh, "A Dual-Band 90-Degree SiGe HBT Active Phase Shifter Based on Band-Pass and Band-Stop Designs Using Dual-Band Resonators", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 4, pp. 224–229, 2018. doi: 10.25046/aj030421
- Ola Surakhi, Mohammad Khanafseh, Yasser Jaffal, "An enhanced Biometric-based Face Recognition System using Genetic and CRO Algorithms", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 3, pp. 116–124, 2018. doi: 10.25046/aj030316
- Sergio Federico Yapur, Eduardo Jos´e Adam, "A Comparison of MIMO Tuning Controller Techniques Applied to Steam Generator", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 3, pp. 7–14, 2018. doi: 10.25046/aj030302
- Mohammad Hossain, Sameer Abufardeh, Sumeet Kumar, "Frameworks for Performing on Cloud Automated Software Testing Using Swarm Intelligence Algorithm: Brief Survey", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 2, pp. 252–256, 2018. doi: 10.25046/aj030229
- Laud Charles Ochei, Christopher Ifeanyichukwu Ejiofor, "A Model for Optimising the Deployment of Cloud-hosted Application Components for Guaranteeing Multitenancy Isolation", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 2, pp. 174–183, 2018. doi: 10.25046/aj030220
- An-Ting Cheng, Chun-Yen Chen, Bo-Cheng Lai, Che-Huai Lin, "Software and Hardware Enhancement of Convolutional Neural Networks on GPGPUs", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 2, pp. 28–39, 2018. doi: 10.25046/aj030204
- Uttara Sawant, Robert Akl, "Adaptive and Non Adaptive LTE Fractional Frequency Reuse Mechanisms Mobility Performance", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 1, pp. 511–520, 2018. doi: 10.25046/aj030162
- Sahbi Marrouchi, Nesrine Amor, Moez Ben Hessine, Souad Chebbi, "Theoretical Investigation of Combined Use of PSO, Tabu Search and Lagrangian Relaxation methods to solve the Unit Commitment Problem", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 1, pp. 357–365, 2018. doi: 10.25046/aj030144
- Muhammad Usman Sheikh, Jukka Lempiainen, "Analysis of Outdoor and Indoor Propagation at 15 GHz and Millimeter Wave Frequencies in Microcellular Environment", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 1, pp. 160–167, 2018. doi: 10.25046/aj030120
- André Richter, Ines Hauer, Martin Wolter, "Algorithms for Technical Integration of Virtual Power Plants into German System Operation", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 1, pp. 135–147, 2018. doi: 10.25046/aj030117
- Mustafa Saka, Ibrahim Eke, Suleyman Sungur Tezcan, Muslum Cengiz Taplamacioglu, "Analysis of Economic Load Dispatch with a lot of Constraints Using Vortex Search Algorithm", Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 6, pp. 151–156, 2017. doi: 10.25046/aj020619
- Mario Brcic, Nikica Hlupic, Nenad Katanic, "Distributing the computation in combinatorial optimization experiments over the cloud", Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 6, pp. 136–144, 2017. doi: 10.25046/aj020617
- Tian-Hua Liu, Shao-Kai Tseng, Yi Chen, Mao-Bin Lu, "Real-Time Flux-weakening Control for an IPMSM Drive System Using a Predictive Controller", Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 6, pp. 76–86, 2017. doi: 10.25046/aj020610
- Yew Choon Mark Tan, Guan Hong Ng, Yew Siow Roger Tay, "Flexible Aperture Tuning Solution for Cellular Main Antenna in Metallic Back Cover Mobile Phone", Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 6, pp. 49–55, 2017. doi: 10.25046/aj020606
- Kornkanok Phoksawat, Massudi Mahmuddin, "Hybrid Ontology-based knowledge with multi-objective optimization model framework for Decision Support System in intercropping", Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 3, pp. 1363–1371, 2017. doi: 10.25046/aj0203172
- Dinh Khanh Ho, Van-Duc Ngo, Ines Kharrat, Tan Phu Vuong, Quoc Cuong Nguyen, Minh Thuy Le, "A Novel Dual-Band Rectenna for Ambient RF Energy Harvesting at GSM 900 MHz and 1800 MHz", Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 3, pp. 612–616, 2017. doi: 10.25046/aj020378
- Riadh Essaadali, Said Aliouane, Chokri Jebali and Ammar Kouki, "Optimization of Multi-standard Transmitter Architecture Using Single-Double Conversion Technique Used for Rescue Operations", Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 3, pp. 73–81, 2017. doi: 10.25046/aj020311