Spectral Efficiency Evaluation for Channel Estimation Techniques in Massive MIMO Time Division Duplexing (TDD) System
Main Article Content
Abstract
Today, a revolution in cellular network has been set in motion toward 5G. One of the key techniques for 5G is massive multiple-input multiple-output (m-MIMO) technology to achieve multiple orders of spectral and energy efficiency gains over current LTE networks. M-MIMO is a system where a base station (BS) with a large number of antennas simultaneously serves many user terminals, each having a single antenna, in the same time-frequency resource. Channel estimation is crucial for M-MIMO systems to provide significant improvement in spectral and energy efficiency. In uplink training the user sends orthogonal pilot signals that are known to the BS then the BS estimates the channel. In this paper, we study several channel estimation techniques in multi-cell massive MIMO time division duplex (TDD) systems. Simulations were performed for several channel estimation techniques in order to identify the best spectral efficiency.
Keywords
Spectral Efficiency, Channel Estimation Techniques, Massive MIMO TDD, time-frequency resource
Article Details
References
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[3] Emil Björnson, Jakob Hoydis, Luca Sanguinetti, Massive MIMO networks: Spectral, Energy, and Hardware Efficiency, Publisher Inc., 2018.
[4] Biguesh, M. and A. Gershman, Downlink Channel Estimation in Cellular Systems with Antenna Arrays at Base Stations Using Channel Probing with Feedback, EURASIP Journal on Advances in Signal Processing, Volume 2004, pp.1330-1309.
[5] A. Forenza, D. J. Love, R. W. Heath, Simplified Spatial Correlation Models for Clustered MIMO Channels With Different Array Configurations, IEEE Transactions on Vehicular Technology, 56(4):1924-1934, August 2007.
[6] Haifan Yin, David Gesbert, Miltiades Filippou, Yingzhuang Liu, A Coordinated Approach to Channel Estimation in Large-scale Multiple-antenna Systems, IEEE Journal on Selected Areas in Communications, 31(12):264-273, 2012.
[7] Future advancement for E-UTRA physical layer aspects (Release 9). 2010. 3GPP TS 36.814.
[8] Andrea P. Guevara, Cheng-Ming Chen, Sofie Pollin, Pilot Contamination in Massive MIMO: Virtual Angular Information aided Channel Estimation, Poster presented for EuCNC 2018, June 2018, Ljubljana.
[9] K. I. Pedersen, P. E. Mogense, B. H. Fleury, Power Azimuth Spectrum in Outdoor Environments, IEEE Electronic Letters, vol.33, no.18, pp.1583-1584, August 1997.