volume | PIER Journals

2013-11-13

Application of Negative Selection Algorithm in Smart Antenna System for LTE Communication

Abdul Kadir Evizal,

Dr. Abdul Kadir Evizal

Faculty of Electrical Engineering

Universiti Teknologi Malaysia

Malaysia

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Tharek Bin Abdul Rahman,

Professor Tharek Bin Abdul Rahman

Faculty of Electrical Engineering

Universiti Teknologi Malaysia

Malaysia

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Sharul Kamal Bin Abd Rahim,

Dr. Sharul Kamal Bin Abd Rahim

Fakulti Kejuruteraan Elektrik

University Technology Malaysia

Malaysia

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Sri Listia Rosa,

Dr. Sri Listia Rosa

Faculty of Computing

Universiti Teknologi Malaysia

MALAYSIA

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Alireza Moradi

Dr. Alireza Moradi

Faculty of Electrical Engineering (FKE)

University Technology Malaysia

Malaysia

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Progress In Electromagnetics Research B, Vol. 56, 365-385, 2013

doi:10.2528/PIERB13090901

Abstract

Interference and multipath is one of the current issues in a wireless communication system, with complicated scenarios of environment especially in urban areas with a high number of users. Introducing smart antenna systems at the base station can contribute to reducing interference and improve quality of service. This paper proposes and explores the application of artificial immune system and negative selection algorithm to the prototype of smart antenna, where the proposed smart antenna is a hexagonal structure with 6-elements of the antenna array and working in LTE band at 2.6 GHz. Initial testing was done to define the RSSI value by calculating the average of the signal then comparing RSSI value defined by implementing artificial immune algorithm. To proof and determine actual RSSI signal received, a test in an anechoic chamber is conducted as reference that assumes free interference and multipath then compared to both of results. X-Bee module was used for transmitter and receiver in system at 2.4\,GHz band, and the proposed system prototype with hexagonal structure also used dual ARM microprocessor. Negative selection algorithm is applied in smart antenna programming to define actual values of receiving signal and angle of arrival. Every beam of the antenna were installed with an X-Bee module then connected to microprocessors, with an LED installed at each of the antenna as an indicator of beam switching or angle of arrival signal.

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Abdul Kadir Evizal, Tharek Bin Abdul Rahman, Sharul Kamal Bin Abd Rahim, Sri Listia Rosa, and Alireza Moradi, "Application of Negative Selection Algorithm in Smart Antenna System for LTE Communication," Progress In Electromagnetics Research B, Vol. 56, 365-385, 2013.
doi:10.2528/PIERB13090901

References

1. 3GPP "The mobile broadband standard,", 2013.
doi:http://www.3gpp.org/About-3GPP

2. Weon-Cheol, L. and C. Seungwon, "Adaptive beamforming algorithm based on eigen-space method for smart antennas," IEEE Communications Letters, Vol. 9, No. 10, 888-890, 2005.
doi:10.1109/LAWP.2006.875894

3. Celik, N., et al. "Implementation and experimental verification of hybrid smart-antenna beamforming algorithm," IEEE Antennas and Wireless Propagation Letters, Vol. 5, No. 1, 280-283, 2006.
doi:10.2528/PIER07030904

4. Mahmoud, K. R., M. El-Adawy, S. M. M. Ibrahem, R. Bansal, and S. H. Zainud-Deen, "A comparison between circular and hexagonal array geometries for smart antenna systems using particle swarm optimization algorithm ," Progress In Electromagnetics Research, Vol. 72, 75-90, 2007.
doi:10.1109/TAP.2013.2269132

5. Byun, G., et al. "Optimum placement of DF antenna elements for accurate DOA estimation in a harsh platform environment," IEEE Transactions on Antennas and Propagation, Vol. 61, No. 9, 4783-4791, 2013.
doi:10.1109/TAP.2013.2256093

6. Carlin, M., et al. "Directions-of-arrival estimation through Bayesian compressive sensing strategies," IEEE Transactions on Antennas and Propagation, Vol. 61, No. 7, 3828-3838, 2013.
doi:10.1109/JSEN.2011.2182046

7. Malajner, M., et al. "Angle of arrival estimation using RSSI and omnidirectional rotatable antennas," IEEE Sensors Journal, Vol. 12, No. 6, 1950-1957, 2012.
doi:10.1109/JSEN.2010.2070872

8. Hood, B. N. and P. Barooah, "Estimating DoA from radio-frequency RSSI measurements using an actuated reflector," IEEE Sensors Journal, Vol. 11, No. 2, 413-417, 2011.
doi:10.1109/LAWP.2009.2014401

9. Celik, N., et al. "Experimental verification of the hybrid smart antenna algorithm with modulated waveforms," IEEE Antennas and Wireless Propagation Letters, Vol. 8, 236-239, 2009.
doi:10.1109/TAP.2013.2255854

10. Hislop, G., et al. "Direction finding with MUSIC and CLEAN," IEEE Transactions on Antennas and Propagation, Vol. 61, No. 7, 3839-3849, 2013.
doi:10.1109/TAP.2009.2016721

11. Gotsis, K. A., et al. "On the direction of arrival (DoA) estimation for a switched-beam antenna system using neural networks," IEEE Transactions on Antennas and Propagation, Vol. 57, No. 5, 1399-1411, 2009.

12. Kunarak, S. and R. Suleesathira, "Algorithmic vertical handoff decision and merit network selection across heterogeneous wireless networks," WSEAS Transactions on Communications, Vol. 12, 1-13, 2013.

13. De Castro, L. R. and J. Timmis, "Artificial Immune Systems: A New Computational Intelligence Paradigm," Springer-Verlag Inc., 2002.
doi:10.1007/978-3-540-85194-3_4

14. Timmis, J., et al. "Immune systems and computation: An interdisciplinary adventure," Unconventional Computing, Vol. 5204, 8-18, 2008.
doi:10.1007/978-3-540-45192-1_25

15. Gonzalez, F., et al. "A randomized real-valued negative selection algorithm," Artificial Immune Systems, Vol. 2787, 261-272, 2003.

16. Hunt, J., et al. "JISYS: Development of an artificial immune system for real world applications," Artificial Immune Systems and their Applications, 157-186, 1998.

17. Gross, F. B., Smart Antenna for Wireless Communication, McGraw-Hill, 2005.

18. Balanis, C. A., "Antenna Theory: Analysis and Design," John Wiley & Sons, 2005.

19. Brownlee, J., Clever Algorithms, 1st Ed., Lulu Enterprises, 2011.

20. DI Inc. "XBee R /XBee-PROR RF modules," Product Manual v1.xEx --- 802.15.4 Protocol, 2009.