×

Unifying eigen-mode MIMO transmission. (English) Zbl 1181.94083

Summary: Multiple-input multiple-output (MIMO) technique plays a key role in improving the spectrum and power efficiency in future mobile communication systems. Exploiting a unified MIMO transmission scheme that can adapt with various channel conditions is well motivated both in theory and practical applications. An eigen-mode based closed-loop MIMO transmission over frequency selective fading MIMO channels, which considers receive correlation, transmit correlation and line of sight (LOS) components, is investigated by maximizing the upper bound of channel capacity under the assumption that the channel is partially known at the transmitter and perfectly known at the receiver. Based on the eigen-mode transmission, several key techniques including linear precoding, stream selection, virtual spatial hopping and online capacity estimation are proposed, and a unified MIMO transmission scheme is established. Both computer simulation and field test results show that the proposed scheme can significantly improve the spectral efficiency and link reliability under various channel conditions.

MSC:

94A40 Channel models (including quantum) in information and communication theory
Full Text: DOI

References:

[1] RECOMMENDATION ITU-R M.1645. Framework and overall objectives of the future development of IMT-2000 and systems beyond IMT-2000. 2003
[2] You X H, Chen G A, Chen M, et al. Toward beyond 3G: the FuTURE project of China. IEEE Commun Mag, 2005, 43(1): 70–75
[3] Stuber G L, Barry J R, Mclaughlin S W, et al. Broadband MIMO-OFDM wireless communications. Proc IEEE, 2004, 92(2): 271–294 · doi:10.1109/JPROC.2003.821912
[4] Paulraj A, Nabar R, Gore D. Introduction to Space-Time Wireless Communications. Cambridge: Cambridge University Press, 2003
[5] Gao X Q, You X H, Jiang B, et al. Generalized multi-carrier transmission technique for beyond 3G mobile communications. Proc of IEEE PIMRC, 2003, 2: 972–976
[6] Foschini G J, Gans M J. On limits of wireless communications in a fading environment when using multiple antennas. Wireless Pers Commun, 1998, 6(3): 311–335 · doi:10.1023/A:1008889222784
[7] Telatar I E. Capacity of multi-antenna Gaussian channels. European Trans Telecommun, 1999, 10(6): 585–595 · doi:10.1002/ett.4460100604
[8] Shiu D S, Foschini G J, Gans M J, et al. Fading correlation and its effects on the capacity of multielement antenna systems. IEEE Trans Commun, 2004, 48(3): 502–513 · doi:10.1109/26.837052
[9] Forenza A, McKay M R, Heath Jr R W, et al. Switching between OSTBC and spatial multiplexing with linear receivers in spatially correlated MIMO channels. Proc of IEEE VTC, 2006, 3: 1387–1391
[10] Venkatesan S, Simon S H, Valenzuela R A. Capacity of a Gaussian MIMO channel with nonzero mean. Proc of IEEE VTC, 2003, 3: 1767–1771
[11] Hoesli D, Kim Y H, Lapidoth A. Monotonicity results for coherent MIMO Rician channels. IEEE Trans Inf Theory, 2006, 51(12): 4334–4339 · Zbl 1316.94039 · doi:10.1109/TIT.2005.858968
[12] Bolcskei H, Borgmann M, Paulraj A J. Impact of the propagation environment on the performance of space-frequency coded MIMO-OFDM. IEEE J Select Areas Commun, 2003, 21(3): 427–439 · doi:10.1109/JSAC.2003.809723
[13] Jorswieck E A, Boche H. Optimal transmission strategies and impact of correlation in multiantenna systems with different type of channel state information. IEEE Trans Signal Process, 2004, 52(12): 3440–3453 · Zbl 1370.94439 · doi:10.1109/TSP.2004.837415
[14] Narula A, Lopez M J, Trott M D, et al. Efficient use of side information in multiple antenna data transmission over fading channels. IEEE J Select Areas Commun, 1998, 16(8): 1423–1436 · doi:10.1109/49.730451
[15] Visotsky E, Madhow U. Space-time Transmit Precoding with Imperfect Feedback. IEEE Trans Inf Theory, 2001, 47(6): 2632–2639 · Zbl 0997.94526 · doi:10.1109/18.945281
[16] Jorswieck E A, Boche H. Channel capacity and capacity-range of beamforming in MIMO wireless systems under correlated fading with covariance feedback. IEEE Trans Wireless Commun, 2004, 3(5): 1543–1553 · doi:10.1109/TWC.2004.833523
[17] Ho T S, Sakagnchi K, Araki K. Performance analysis of MIMO eigenmode transmission system under realistic channel and system conditions. Proc of IEEE VTC, 2004, 2: 708–712
[18] Xiao C S, Zheng Y R. Ergodic capacity of doubly selective Rayleigh fading MIMO channels. Proc of IEEE WCNC, 2004, 1: 345–350
[19] Jin S, Gao X Q, You X H. On the ergodic capacity of rank-1 Ricean-fading MIMO channels. IEEE Trans Inf Theory, 2007, 53(2): 502–517 · Zbl 1310.94066 · doi:10.1109/TIT.2006.889707
[20] Chung S T, Lozano A, Huang H C, et al. Approaching the MIMO capacity with a low-rate feedback channel in V-BLAST. EURASIP J Appl Signal Process, 2004, 2004: 762–771 · Zbl 1068.94527 · doi:10.1155/S1110865704312035
[21] Wang D M, Gao X Q, You X H. Low complexity turbo receiver for multi-user STBC block transmission systems. IEEE Trans Wirel Commun, 2006, 5(10): 2625–2632 · doi:10.1109/TWC.2006.04163
[22] Wang W J, Gao X Q, Wu X F, et al. Dual-turbo receiver architecture for turbo coded MIMO-OFDM systems. In: Proc of IEEE ICC 2009, Dresden, Germany, 2009
[23] Biguesh M, Gershman A B. Training-based MIMO channel estimation: a study of estimator tradeoffs and optimal training signals. IEEE Trans Signal Process, 2006, 54(3): 884–893 · Zbl 1373.94543 · doi:10.1109/TSP.2005.863008
[24] Gao X Q, Jiang B, You X H, et al. Efficient channel estimation for MIMO single-carrier block transmission with dual cyclic timeslot. IEEE Trans Commun, 2007, 55(11): 2210–2223 · doi:10.1109/TCOMM.2007.908551
[25] Jiang B, Wang W J, Gao X Q. Polynomial-based noise variance estimation for MIMO-SCBT systems. IEEE Signal Proc Lett, 2009, 16(6): 497–500 · doi:10.1109/LSP.2009.2017575
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.