Weitere Artikel dieser Ausgabe durch Wischen aufrufen
We consider multi-cell multi-user massive MIMO system under correlated Rayleigh fading channels. Taking pilot contamination and CSI delay into consideration, we derive the equivalent channel model with MMSE channel estimation and one-tap prediction. Employing this equivalent channel model, the lower bound of the uplink sum-rate is derived, and its asymptotical performance is studied when the base station antenna number goes without bound. We find that if we schedule the \(k\)-th user of all cells who have the same prediction coefficient, the uplink sum-rate is the same as the one with no CSI delay when the number of BS antennas goes without bound at a much greater rate than the number of users. Simulation results show that the asymptotic approximation has good performance for large \(M\), and suggest that large antenna array can compensate for the decay due to CSI delay. Simulation results also verify our guess that CSI delay does not necessarilly decrease the uplink sum-rate due to the impact of pilot contamination.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Marzetta, T. L. (2010). Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Transactions on Wireless Communications, 9(11), 3590–3600. CrossRef
Rusek, F., Persson, D., Lau, B. K., Larsson, E. G., Marzetta, T. L., Edfors, O., et al. (2013). Scaling up MIMO: Opportunities and challenges with very large arrays. IEEE Signal Processing Magazine, 30(1), 40–60. CrossRef
Ngo, H. Q., & Larsson, E. G. (2012). Very large MIMO, massive MIMO, large-scale antenna systems. http://www.commsys.isy.liu.se/egl/vlm/vlm.html.
Marzetta, T. L. (2006). How much training is required for multiuser MIMO? In Proceedings of IEEE asilomar conference on signals, systems and computers (ACSSC06), Pacific Grove, CA, USA (pp. 359–363).
Jose, J., Ashikhmin, A., Marzetta, T. L., & Vishwanath, S. (2011). Pilot contamination and precoding in multi-cell TDD systems. IEEE Transactions on Wireless Communications, 10(8), 2640–2651. CrossRef
Ngo, H. Q., Larsson, E. G., & Marzetta, T. L. (2013). Energy and spectral efficiency of very large multiuser MIMO systems. IEEE Transactions on Communications, 61(4), 1436–1449. CrossRef
Ngo, H. Q., Larsson, E. G., & Marzetta, T. L. (2011). Analysis of the pilot contamination effect in very large multicell multiuser MIMO systems for physical channel models. In Proceedings of IEEE international conference on acoustics, speech and signal processing (ICASSP11), Prague, Czech Republic (pp. 3464–3467).
Hoydis, J., Brinkz, S., & Debbah, M. (2013). Massive MIMO in the UL/DL of cellular networks: How many antennas do we need? IEEE Journal on Selected Areas in Communications, 31(2), 160–171. CrossRef
Wang, D., Ji, C., Gao, X. Q., Sun, S., & You, X. (2013). Uplink sum-rate analysis of multi-cell multi-user massive MIMO system. In Proceedings of IEEE international conference on communications (ICC13), Budapest, Hungary (pp. 3997–4001).
Zhou, B., Jiang, L., Zhao, S., & He, C. (2011). BER analysis of TDD downlink multiuser MIMO systems with imperfect channel state information. EURASIP Journal on Advances in Signal Processing, 2011, 104. CrossRef
Zhou, S., & Giannakis, G. B. (2004). How accurate channel prediction needs to be for transmit-beamforming with adaptive modulation over Rayleigh MIMO channels? IEEE Transactions on Wireless Communications, 3(4), 1285–1294. CrossRef
Kay, S. (1993). Fundamental of statistical signal processing: Estimation theory. Englewood Cliffs: Prentice Hall.
Loyka, S. L. (2011). Channel capacity of MIMO architecture using the exponential correlation matrix. IEEE Communications Lettets, 5(9), 369–371. CrossRef
- Uplink Sum-Rate Analysis of Massive MIMO System with Pilot Contamination and CSI Delay
- Springer US