Abstract
5G antenna arrays are being designed to generate a dedicated stream of data for every single user. This results in more capacity and speed over the network along with the least possible latency rate. Depending upon the direction of the user demanding internet access, the beam can be steered in that direction. Meanwhile, the occurrence of side lobes in such systems can be menacing. The smart antenna is a pivotal technology for modern cellular communication. It helps the user’s signal to determine the direction of arrival It also estimates antenna arrays using an adaptive signal processing algorithm that produces a radiation beam for communication. This work presents beamforming for uniform linear smart antenna array using leaky least mean square algorithm and side lobe level reduction using array synthesis methods like Tchebycheff and Taylor distribution. Multiple interferers are considered for the smart antenna. Here, one of the aims is to reduce side lobe levels nearer to the main beam which can enhance more efficient frequency reuse in a cellular network. Side lobe level is reduced up to about 16 dB that enacted for signal-to-noise ratio to 20 dB.
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References
Herscovici, N., Chirstodoulou, C., & Chryssomallis, M. (2000). Smart antennas. IEEE Antennas and Propagation Magazine, 42(3), 129–136.
Gross, F. (2005). Smart antenna for wireless communication. McGraw-Hill.
Godara, L. C. (1997). Application of antenna arrays to mobile communications, Part II: Beam-forming and direction-of-arrival considerations. Proceedings of the IEEE, 85(8), 1195–1245.
Bellofiore, S., Balanis, C. A., Foutz, J., & Spanias, A. S. (2002). Smart-antenna systems for mobile communication network, part 1, overview and antenna design. IEEE Antennas and Propagation Magazine, 44(3), 145–154.
Rao, A. P., & Sarma, N. V. S. N. (2014). Adaptive beamforming algorithms for smart antenna systems. WSEAS Transaction on Communications, 13, 44–50.
Ghouse Basha, T. S., Sridevi, P. V., & Giri Prasad, M. N. (2013). Beam forming in smart antenna with precise direction of arrival estimation using MUSIC algorithm. Wireless Personal Communications, 71(2), 1353–1364.
Tao, J.-W., & Chang, W.-X. (2014). Adaptive beamforming based on complex quaternion processes. Mathematical Problems in Engineering, Hindawi, 2014, 1–10.
Liu, F., Du, R., Wu, J., Zhou, Q., Zhang, Z., & Cheng, Y. (2018). Multiple constrained l2-norm minimization algorithm for adaptive beamforming. IEEE Sensors Journal, 18(15), 6311–6318.
Ramakrishna, Y., Kumari, V.R., Subbaiah, P.V. (2017). Hybrid adaptive beamforming algorithms for smart antenna. In International Conference on Computer Applications in Electrical Engineering-Recent Advances, Roorkee, India (pp. 117–122), 5–7 Oct. 2017.
Sarkar, T. K., Wicks, M. C., Salazar-Palma, M., & Robert, J. (2003). Smart Antennas. Wiley-IEEE Press.
Hong, X., & Chen, S. (2017). Recursive least squares semi-blind beamforming for MIMO using decision directed adaptation and constant modulus criterion. International Journal of Automatic Computing, 14, 442–449.
Senapati, A., & Roy, J. S. (2017). Adaptive beamforming in smart antenna using tchebyscheff distribution and variants of least mean square algorithm. Journal Of Engineering Science And Technology, 12(3), 716–724.
Sarker, M.A., Hossain, M.S., & Masud, M.S. (2016). Robust beamforming synthesis technique for low side lobe level using Taylor excited antenna array. In 2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) (pp. 1–4), Rajshahi, Bangladesh, December 2016.
Sun, G., Liu, Y., Li, H., Liang, S., Wang, A., & Li, B. An antenna array sidelobe level reduction approach through invasive weed optimization. International Journal of Antennas and Propagation.
Senapati, A., Patro, B. S., Sooksood, K., et al. (2022). Performance of smart antenna under different fading conditions. Wireless Personal Communications, 124, 1493–1509. https://doi.org/10.1007/s11277-021-09417-9
Albagory, Y., & Alraddady, F. (2021). An efficient approach for sidelobe level reduction based on recursive sequential damping. Symmetry, 13, 480. https://doi.org/10.3390/sym13030480
Vinod Kumar, P., & Ghosh, B. (2022). Side lobe level reduction of metasurface transmit array. Engineering Research Express, 4, 035060. https://doi.org/10.1088/2631-8695/ac9114
Dakulagi, V., & Bakhar, M. (2019). Advances in smart antenna systems for wireless communication. Wireless Personal Communications, 110, 931–957.
Sowjanva, M., Sahoo, A.K., & Kumar, S. (2015). Distributed incremental leaky LMS. In Intl. Conf. on Communication and Signal Processing (ICCSP), Melmaruvathur, India (pp. 1753–1757), April 2–4.
Sharma, R., Senapati, A., & Roy, J.S. (2018). Beamforming of smart antenna in cellular network using leaky LMS algorithm. In 2018 Emerging Trends in Electronic Devices and Computational Techniques (EDCT), 8–9 March, 2018, Kolkata, India (pp. 1–5).
Balanis, C. A. (2005). Antenna theory–analysis and design (3rd ed.). Wiley.
Kamenetsky, M., & Widrow, B. (2004). A variable leaky LMS adaptive algorithm. In Thirty-eighth Asilomar Conference on Signals, Systems and Computers, California, USA, Nov. 7–10 (pp. 125–128).
Dakulagi, V. (2019). Adaptive beamforming algorithms using 2D-novel ULA for wireless communications. Springer Nature Applied Sciences, 1(9), 1001.
Jordan, E. C., & Balmain, K. G. (2009). Electromagnetic waves and radiating systems (2nd ed.). Prentice Hall of India.
Abed, A. T. (2014). Study of radiation properties in Taylor distribution uniform spaced backfire antenna arrays. American Journal of Electromagnetics and Applications., 2(3), 23–26.
Chatterjee, S., Chatterjee, S., & Poddar, D. R. (2014). Synthesis of linear array using Taylor distribution and particle swarm optimisation. International Journal of Electronics, 102(3), 514–528.
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Senapati, A., Patro, B.S. & Roy, J.S. Design of Smart Antenna for 5G Network Using Array Synthesis Methods and Leaky LMS Algorithm. Wireless Pers Commun 129, 2829–2841 (2023). https://doi.org/10.1007/s11277-023-10260-3
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DOI: https://doi.org/10.1007/s11277-023-10260-3