Review paper on Cell Free Massive MIMO Systems with FDD and TDD based Channel State Information

Authors

  • Sharma S Department of Electronics and Communication, LNCTS, Bhopal
  • Choudhary S Department of Electronics and Communication, LNCTS, Bhopal
  • Gupta B Department of Electronics and Communication, LNCTS, Bhopal

DOI:

https://doi.org/10.26438/ijcse/v7i7.271275

Keywords:

Massive MIMO, Channel State Information, Square Root-Recursive Least Square (QR-RLS)

Abstract

In a cellular network, the demand for high throughput and reliable transmission is increasing in large scale. One of the architectures proposed for 5G wireless communication to satisfy the demand is Massive MIMO system. The massive system is equipped with the large array of antennas at the Base Station (BS) serving multiple single antenna users simultaneously i.e., number of BS antennas are typically more compared to the number of users in a cell. The advantages of massive MIMO can be achieved only if Channel State Information (CSI) is known at BS uplink and downlink operate on orthogonal channels - TDD and FDD modes. Depending on slow/fast channel fading conditions, several authors suggested adaptive LMS, RLS and NLMS based channel estimators, which either require statistical information of the channel or are not efficient enough in terms of performance or computations. In order to overcome the above effects, the work focuses on the QR-RLS based channel estimation method for cell free Massive MIMO systems.

References

[1] H. Q. Ngo A. Ashikhmin H. Yang E. G. Larsson T. L. Marzetta "Cell-free massive MIMO versus small cells" IEEE Trans. Wireless Commun. vol. 16 no. 3 pp. 1834-1850 Mar. 2017.

[2] Huang A. Burr "Compute-and-forward in cell-free massive MIMO: Great performance with low backhaul load" Proc. IEEE Int. Conf. Commun. (ICC) pp. 601-606 May 2017.

[3] Q. Huang A. Burr "Compute-and-forward in cell-free massive MIMO: Great performance with low backhaul load" Proc. IEEE Int. Conf. Commun. (ICC) pp. 601-606 May 2017.

[4] H. Q. Ngo A. Ashikhmin H. Yang E. G. Larsson T. L. Marzetta "Cell-free massive MIMO: Uniformly great service for everyone" Proc. IEEE Int. Workshop Signal Process. Adv. Wireless Commun. (SPAWC) pp. 201-205 Jun. 2015

[5] E. Nayebi A. Ashikhmin T. L. Marzetta H. Yang "Cell-free massive MIMO systems" Proc. 49th Asilomar Conf. Signals Syst. Comput. pp. 695-699 Nov. 2015.

[6] F. Rusek, D. Persson, B. K. Lau, E. G. Larsson, T. L. Marzetta, O. Edfors, and F. Tufvesson, “Scaling up mimo: Opportunities and challenges with very large arrays,” IEEE Signal Process. Mag., vol. 30, no. 1, pp. 40–60, Jan 2013.

[7] L. Lu, G. Y. Li, A. L. Swindlehurst, A. Ashikhmin, and R. Zhang, “An overview of massive MIMO: Benefits and challenges,” EEE J. Sel. Topics Signal Process., vol. 8, no. 5, pp. 742–758, Oct 2014.

[8] S. Payami and F. Tufvesson, “Channel measurements and analysis for very large array systems at 2.6 ghz,” Proc. 6th Eur. Conf. on Antennas and Propag. (EUCAP), pp. 433–437, March 2012.

[9] A. F. Molisch, V. V. Ratnam, S. Han, Z. Li, S. L. H. Nguyen, L. Li, and K. Haneda, “Hybrid beamforming for massive MIMO: A survey,” IEEE Comm. Mag., vol. 55, no. 9, pp. 134–141, 2017.

[10] F. Sohrabi and W. Yu, “Hybrid digital and analog beamforming design for large-scale antenna arrays,” IEEE Journal of Selected Topics in Signal Processing, vol. 10, no. 3, pp. 501–513, April 2016.

[11] O. E. Ayach, S. Rajagopal, S. Abu-Surra, Z. Pi, and R. W. Heath, “Spatially sparse precoding in millimeter wave MIMO systems,” IEEE Transactions on Wireless Communications, vol. 13, no. 3, pp. 1499–1513, March 2014.

[12] I. Ahmed, H. Khammari, A. Shahid, A. Musa, K. S. Kim, E. D. Poorter, and I. Moerman, “A survey on hybrid beamforming techniques in 5G: Architecture and system model perspectives,” IEEE Communications Surveys and Tutorials, vol. 20, no. 4, pp. 3060–3097, Fourthquarter 2018.

[13] S. Payami, N. Mysore Balasubramanya, C. Masouros, and M. Sellathurai, “Phase shifters versus switches: An energy efficiency perspective on hybrid beamforming,” IEEE Wireless Communications Letters, vol. 8, no. 1, pp. 13–16, Feb

[14] Akhilesh Venkatasubramanian, Krithika.V and Partibane. B, “Channel Estimation For A Multi-User MIMO-OFDM- IDMA System”, International Conference on Communication and Signal Processing, April 6-8, 2017, India.

Downloads

Published

2019-07-31
CITATION
DOI: 10.26438/ijcse/v7i7.271275
Published: 2019-07-31

How to Cite

[1]
S. Sharma, S. Choudhary, and B. Gupta, “Review paper on Cell Free Massive MIMO Systems with FDD and TDD based Channel State Information”, Int. J. Comp. Sci. Eng., vol. 7, no. 7, pp. 271–275, Jul. 2019.

Issue

Vol. 7 No. 7 (2019): IJCSE July Edition

Section

Review Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.