GA-MIMO: Genetic Algorithm for Optimization of ESPAR Antenna on Beamspace MIMO

Rissa Rahmania, Bambang Setia Nugroho, Fiky Yosef Suratman, Suryo Adhi Wibowo

Abstract

An electronically steerable passive array radiator (ESPAR) antenna can be used on a beamspace (BS)-multiple input multiple output (MIMO) system to reduce the device complexity. An ESPAR antenna has beamforming ability with single RF chain. However, antenna structure and channel conditions affect the number of orthogonal basis pattern which generated using Gram-Schmidt method. Based on this problem, reactance value at each parasitic element need to be optimized to form radiation pattern that required by the BS-MIMO. In this research, Genetic Algorithm (GA) is used to optimize reactance value which represented by the correlation between the desired and achieved radiation pattern, in different number of elements and different channel condition. GA is selected because this problem can be modeled as chromosome and several individual. Furthermore, the result shows in channel-ignorant and channel-aware, antenna with seven elements has a correlation in median value of 99.46% and 90.58%, respectively.

Antena electronically steerable passive array radiator (ESPAR) dapat digunakan dalam sistem beamspace (BS)-multiple input multiple output (MIMO) dalam mengatasi kompleksitas perangkat. Antena ESPAR memiliki kemampuan untuk membentuk pola radiasi pada arah tertentu dengan menggunakan terminal tunggal, namun struktur antena dan kondisi kanal mempengaruhi pola dasar ortogonal yang dihasilkan melalui metode Gram Schmidt. Berdasarkan permasalahan tersebut, nilai reaktansi pada setiap elemen parasit perlu dioptimasi sehingga dapat menghasilkan pola radiasi yang dibutuhkan oleh sistem BS-MIMO. Pada penelitian ini, Algoritma Genetika digunakan untuk mengoptimasi nilai reaktansi yang direpresentasikan melalui korelasi antara pola radiasi yang dibutuhkan dengan pola radiasi yang dihasilkan, dalam jumlah elemen yang berbeda dan kondisi kanal yang berbeda. AG dipilih karena permasalahan ini dapat dimodelkan sebagai kromosom dan beberapa individual. Hasil analisis pada kondisi channel-ignorant dan channel-aware menunjukkan bahwa antena dengan tujuh elemen memiliki korelasi nilai median sebesar 99,46% dan 90,58%.

Keywords

multiple input multiple output (MIMO); beamspace (BS); Genetic Algorithm (GA); aerial degrees of freedom (ADoF).

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References

T. Ohira, K. Gyoda, “Electronically steerable passive array radiator antennas for low-cost analog adaptive beamforming,” in IEEE Int. Conf. Phased Array Syst. Tech., May 2000, pp. 101–104.

A. Kalis, A. Kanatas, C. Papadias, Parasitic Antenna Array for Wireless MIMO System, New York: Springer-Verlag, 2014.

A. Kalis, A. Kanatas, C. Papadias, “A novel approach to MIMO transmission using a single RF front end,” IEEE J. Sel. Areas Commun., 26(6), pp. 972-980, 2008.

E.D. Thomatos, P.N. Vasileiou, A.G. Kanatas, “Genetic Algorithm Applied to Beamspace-Multiple-Input and Multiple-Output Single-Radio Frequency Front-End Reconfigurable Transcievers,” IET Microwave, Antennas & Propagation, 8(9), pp. 679-687, 2014.

Suyanto, Algoritma Genetika dalam MATLAB, Yogyakarta: ANDI. 2005.

R.L. Haupt, “An introduction to genetic algorithms for electromagnetics,” IEEE Antennas Propag. Mag., vol. 37, no. 2, pp. 7-15, 1995.

D.A. Nurmantris, H. Wijanto, B.S. Nugroho, “A Pattern Reconfigurable of Circular Short-Circuit Antenna Based on Genetic Algorithm,” in 2nd International Conference on Information and Communication Technology (ICoICT), 2014, pp. 351-355.

V. Barousis, A. Kanatas, “Aerial degrees of freedom of parasitic arrays for single RF front-end MIMO transceivers,” Prog. Electromagn. Res. B, vol. 35, pp. 287-306, 2011.

C. Sun, T. Ohira, M. Taromaru, N.C. Karmakar, A. Hirata, “Fast Beamforming of Compact Array Antenna,” in Handbook on Advancements in Smart Antenna Technologies for Wireless Networks, C. Sun, J. Cheng, T. Ohira, Ed., IGI Global, 2009.

E.D. Thomatos, P.N. Vasileiou, A.G. Kanatas, “ESPAR Loads Calculation for Achieving Desired Radiated Patterns with Genetic Algorithm,” in 7th European Conference on Antennas and Propagation (EuCAP), 2003, pp. 902-905.

P.N. Vasileiou, E.D. Thomatos, K. Maliatsos, A.G. Kanatas, “Adaptive Basis Patterns Computation for Electronically Steerable Passive Array Radiator Antennas,” in IEEE 77th Vehicular Technology Conference (VTC Spring), 2013.

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