Analisis Kinerja MIMO Masif dengan Teknik Precoding Maximum Ratio Transmission
Abstract
Channel State Information (CSI) at the base stations obtained via the uplink trainingis an important factor in cellular and multiuser Multi-Input Multi-Output (MIMO) communi-cation networks. In massive MIMO cellular networks with pilot-based training, the most adopted approach is to employ the sameset of orthogonal training symbols in each cell. This is called the full-pilot reuse (FPR) scheme. In this paper, we consider the less-common but a more practical approach where each cell uses different sets of orthogonal training symbols and call this scheme as the Different Orthogonal Pilot (DOP) sequences. In particular, we focus on the downlink performance of massive MIMO networks with the Maximum Ratio Transmission (MRT) precoder at the base stations. The analysis is performed in the large system regime where the number of antennas at each base station and the number of users at each cell tend to infinity with a fixed ratio. We obtain a new expression for the Signal to Interference plus Noise Ratio (SINR) in that regime, called the limiting SINR. Numerical simulations show that it can approximate the finite-size systems accurately. Furthermore, the simulations also indicate that the DOP scheme can give a better SINR and a higher user capacity compared to those of the FPR scheme.
References
T.L. Marzetta, “Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas,” IEEE Transactions on Wireless Communications, Vol. 9, No. 11, hal. 3590-3600, 2010.
L. Lu, G.Y. Li, A.L. Swindlehurst, A. Ashikhmin, dan R. Zhang, “An Overview of Massive MIMO: Benefits and Challenges,” IEEE Journal of Selected Topics in Signal Processing, Vol. 8, No. 5, hal. 742-758, Oct. 2014.
F. Boccardi, R.W. Heath, A. Lozano, T.L. Marzetta, dan P. Popovski, “Five Disruptive Technology Directions for 5G,” IEEE Communications Magazine, Vol. 52, No. 2, hal. 74–80, Feb. 2014.
G. Fettweis dan S. Alamouti, “5G: Personal Mobile Internet Beyond What Cellular Did to Telephony,” IEEE Communications Magazine, Vol. 52, No. 2, hal. 140–145, Feb. 2014.
C.-X. Wang, F. Haider, X. Gao, X.-H. You, Y. Yang, D. Yuan, H.M. Aggoune, H. Haas, S. Fletcher, dan E. Hepsaydir, “Cellular Architecture and Key Technologies for 5G Wireless Communication Networks,” IEEE Communications Magazine, Vol. 52, No. 2, hal. 122–130, 2014.
E. Björnson, J. Hoydis, dan L. Sanguinetti, “Massive MIMO Has Unlimited Capacity,” IEEE Transactions on Wireless Communications, Vol. 17, No. 1, hal. 574-590, 2018.
N. Krishnan, R.D. Yates, dan N.B. Mandayam, “Uplink Linear Receivers for Multi-Cell Multiuser MIMO with Pilot Contamination: Large System Analysis,” IEEE Trans. Wireless Commun., Vol. 13, No. 8, hal. 4360-4373, 2014.
J. Hoydis, S. ten Brink, dan M. Debbah, “Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?,” IEEE J. Sel. Areas Commun., Vol. 31, No. 2, hal. 160–171, 2013.
A. Sivamalai dan J.S. Evans, “On Uplink User Capacity for Massive MIMO Cellular Networks,” Proc. IEEE Globecom, 2016, hal. 1-7.
R. Muharar dan J. Evans, “Performance Analysis of Massive MIMO Networks with Random Unitary Pilot Matrices,” Proc. IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Spain, 2018, hal. 1-6.
J. Evans dan D.N.C. Tse, “Large System Performance of Linear Multiuser Receivers in Multipath Fading Channels,” IEEE Transactions on Information Theory, Vol. 46, No. 6, hal. 2059–2078, Sep. 2000.
D.N.C. Tse dan S.V. Hanly, “Linear Multiuser Receivers: Effective Interference, Effective Bandwidth and User Capacity,” IEEE Transactions on Information Theory, Vol. 45, No. 2, hal. 641–657, Mar. 1999.
M.J.M. Peacock, “Random Matrix Theory Analysis of Fixed and Adaptive Linear Multiuser Receivers,” PhD Thesis, University of Sydney, Sydney, Australia, 2005.
R. Muharar dan J. Evans, “Downlink Beamforming with Transmit-Side Channel Correlation: A Large System Analysis,” IEEE International Conference on Communications (ICC), 2011, hal. 1–5.
S. Wagner, R. Couillet, M. Debbah, dan D.T.M. Slock, “Large System Analysis of Linear Precoding in Correlated MISO Broadcast Channels Under Limited Feedback,” IEEE Transactions on Information Theory, Vol. 58, No. 7, hal. 4509-4537, Jul. 2012.
A.M. Tulino dan S. Verdu, “Random Matrix Theory and Wireless Communications,” dalam Foundations and Trends in Communications and Information Theory, Vol. 1, No. 1, Boston, USA: Now Publishers Inc., 2004, hal. 1-182.
R. Couillet dan M. Debbah, Random Matrix Methods for Wireless Communications, Cambridge, UK: Cambridge University Press, 2011.
Z.D. Bai dan J.W. Silverstein, Spectral Analysis of Large Dimensional Random Matrices, Berlin, Germany: Springer, 2010.
R. Muharar dan J. Evans, “Optimal Training for Time-Division Duplexed Systems with Transmit Beamforming,” Australian Communications Theory Workshop (AusCTW), 2011, hal. 158-163.
M. Debbah, W. Hachem, P. Loubaton, dan M. de Courville, “MMSE Analysis of Certain Large Isometric Random Precoded Systems,” IEEE Transactions on Information Theory, Vol. 49, No. 5, 1293-1311, 2003.
© Jurnal Nasional Teknik Elektro dan Teknologi Informasi, under the terms of the Creative Commons Attribution-ShareAlike 4.0 International License.