Direction of Arrival Estimation in Multiple Antenna Arrays by Using Power Delay Profile for Random Access Performance in 5G Networks

Abstract

In the transition from 4G to 5G, various solutions are being developed to improve performance for features such as data rates, latency, connectivity density and reliability. One of these features is Random Access Procedure because of the increasing number of users in 5G networks. In the random access method, user equipment performs a random access to the base station with a preamble and thus register itself to the base station. However, if more than one user equipments use the same preamble at the same time, collision occurs and the registration process in the base station could be halted. In this paper, a new method is proposed which can be used to calculate Direction of Arrival between adjacent antenna signals in the antenna array with the help of the phase differences. Thus, the collision can be avoided by using the beamforming technique of the MIMO system using the calculated arrival angle of the user equipment. The proposed method is verified for two user equipments placed at different angles, at different distances to an antenna array consisting of 10 antennas.

Keywords

• Direction of Arrival (DOA),Power Delay Profile,Preamble

References

1. [1] A. Gupta, R. K. Jha, “A Survey of 5G Network: Architecture and Emerging Technologies”, IEEE Access, vol. 3, 2015, pp.1206-1232.
2. [2] 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA); Physical Channels and Modulation (Release 10), 2011.
3. [3] H. J. Zepernick, A. Finger, Pseudo Random Signal Processing: Theory and Application, John Wiley & Sons, 2013.
4. [4] V. Krishnaveni, T. Kesavamurthy, B. Aparna, “Beamforming for Direction-of-Arrival (DOA) Estimation-A Survey”, International Journal of Computer Applications, vol. 61, 11, 2013, pp.4-11.
5. [5] Y. Khmou, S. Safi, M. Frikel, “Comparative Study between Several Direction Of Arrival Estimation Methods”, Journal of Telecommunications and Information Technology, vol. 1, 2014, pp.41- 48.
6. [6] R. J. Weber, Y. Huang, “Analysis for Capon and MUSIC DOA estimation algorithms”, IEEE Antennas and Propagation Society International Symposium, June 2009.
7. [7] J. S. Jeong, K. Sakaguchi, J. I. Takada, K. Araki, “Performance of MUSIC and ESPRIT for joint estimation of DOA and angular spread in slow fading environment”, IEICE Transactions on Communications, vol. E85–B, 5, 2002.
8. [8] A. Abdelkader, S. Shahbazpanahi, S. Gershman, “Joint subcarrier power loading and distributed beamforming in OFDM-based asynchronous relay networks”, 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009.

9. [9] S. Sesia, I. Toufik, M. Baker, LTE – The UMTS Long Term Evolution From Theory to Practice, John Wiley & Sons, 2013.
10. [10] C. ZióBkowski, J. M. Kelner,Gershman, “Estimation of the Reception Angle Distribution Based on the Power Delay Spectrum or Profile”, Hindawi Publishing Corporation International Journal of Antennas and Propagation, vol. 2015.