Subarray Based Multiuser Massive MIMO Design Adopting Large Transmit and Receive Arrays
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33093
Subarray Based Multiuser Massive MIMO Design Adopting Large Transmit and Receive Arrays

Authors: Tetsuki Taniguchi, Yoshio Karasawa

Abstract:

This paper describes a subarray based low computational design method of multiuser massive multiple input multiple output (MIMO) system. In our previous works, use of large array is assumed only in transmitter, but this study considers the case both of transmitter and receiver sides are equipped with large array antennas. For this aim, receive arrays are also divided into several subarrays, and the former proposed method is modified for the synthesis of a large array from subarrays in both ends. Through computer simulations, it is verified that the performance of the proposed method is degraded compared with the original approach, but it can achieve the improvement in the aspect of complexity, namely, significant reduction of the computational load to the practical level.

Keywords: Massive multiple input multiple output (MIMO), multiuser, large array, subarray, zero forcing, singular value decomposition.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1109357

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1976

References:


[1] A. Sibille, C. Oestges, and A. Zanella, MIMO: From Theory to Implementation, Academic Press, 2010.
[2] E. G. Larsson, O. Edfors, F. Tufvesson, and T. L. Marzetta, “Massive MIMO for next generation wireless systems,” IEEE Commun. Mag., vol.52, no.2, pp.186-195, Feb. 2014.
[3] Y. Zeng, R. Zhang, and Z-N. Chen, “Electromagnetic lens-focusing antenna enabled massive MIMO: performance improvement and cost reduction,” IEEE J. Selec. Areas Commun., vol.32, no.6, pp.1194-1206, June 2014.
[4] X. Gao, O. Edfors, F. Rusek, and F. Tufvesson, “Massive MIMO performance evaluation based on measured propagation data,” IEEE Trans. Wireless Commun., vol.14, no.7, pp.3899-3911, July 2015.
[5] M. Wu, Y. Bei, G. Wang, C. Dick, J. R. Cavallaro, and C. Studer, “Large-scale MIMO detection for 3GPP LTE: algorithms and FPGA implementations,” IEEE J. Selec. Topis Signal Process., vol.8, no.5, pp.916-929, May 2014.
[6] Y. Wu and J. McAllister, “FPGA-based Tabu search for detection in large-scale MIMO systems, Proc. 2014 IEEE Workshop Signal Process. Systems (SiPS2014), Oct. 2014.
[7] V. P. Selvan, M. S. Iqbal, and H. S. Al-Raweshidy, “Performance analysis of linear precoding schemes for very large Multi-user MIMO downlink system,” Proc. 2014 4th Int. Conf. Innovative Comp. Tech. (INTECH2014), Aug. 2014.
[8] W. Ding, L. V. Tiejun, A. Hu, S. Su, “A low-complexity vector precoding scheme for large multiuser MIMO systems, Proc. 2013 16th Int. Symp. Wireless Personal Multimedia Commun. (WPMC2013), June 2013.
[9] T. Taniguchi and Y. Karasawa, “Subarray grouping based on antenna correlation in computationally efficient multiuser MIMO design,” Proc. 2015 24th European Conf. Network Commun. (EuCNC 2015), June-July. 2015.
[10] Q. H. Spencer and C. B. Peel and A. L. Swindlehurst and M. Haardt, “An introduction to the multi-user MIMO downlink,” IEEE Commun. Mag., vol. 42, no. 10, Oct. 2004, pp. 60-67.