Line-of-sight MIMO for microwave links - Adaptive dual polarized and spatially separated systems

With mass uptake of mobile broadband such as HSPA, LTE and advanced LTE there will be a rapid increase of demand for capacity in the mobile backhaul. The traditional frequency bands used for mobile backhaul microwave links are narrow and may become a future capacity bottleneck. Line-of-sight MIMO is one possible technology for increasing the spectral e ciency of these links. By using multiple antennas at both the transmitter and receiver the capacity of such systems could be multiplied using the same spectrum. Line-of-sight MIMO works by making the signal streams orthogonal to each other either by spatially separating the antennas at the transmitter and receiver or by using orthogonally polarized antennas. In this thesis both 2x2 spatially-separated and 4x4 spatially-separated and dual-polarized line-of-sight MIMO are numerically investigated. Adaptive algorithms for a space-timeequalizer are proposed and evaluated against detrimental a ects such as frequency selective channels, mast swing (antenna movement), polarization leakage and phase noise (correlated and di erential). The algorithms are either decision-directed or blind, those are LMS and WRLS and CMA, SCMA and MCMA respectively. The simulations show that line-of-sight MIMO needs higher system margins and a more complex receiver structure. Convergence of blind algorithms can be di cult to achieve for some channel conditions as well as for di erential phase noise. Mast swing will further more put higher requirements on spatially-separated MIMO systems than on its SISO counterpart.

[1]  Stephen A. Dyer,et al.  Digital signal processing , 2018, 8th International Multitopic Conference, 2004. Proceedings of INMIC 2004..

[2]  Mikael Coldrey,et al.  Training-Based MIMO Systems: Part II—Improvements Using Detected Symbol Information , 2008, IEEE Transactions on Signal Processing.

[3]  Aïssa Ikhlef,et al.  A Simplified Constant Modulus Algorithm for Blind Recovery of MIMO QAM and PSK Signals: A Criterion with Convergence Analysis , 2007, EURASIP J. Wirel. Commun. Netw..

[4]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[5]  Jonas Medbo,et al.  Propagation Characteristics of Polarized Radio Waves in Cellular Communications , 2007, 2007 IEEE 66th Vehicular Technology Conference.

[6]  W. Lee,et al.  Polarization Diversity System for Mobile Radio , 1972, IEEE Trans. Commun..

[7]  Peter F. Driessen,et al.  On the capacity formula for multiple input-multiple output wireless channels: a geometric interpretation , 1999, 1999 IEEE International Conference on Communications (Cat. No. 99CH36311).

[8]  Y. Sato,et al.  A Method of Self-Recovering Equalization for Multilevel Amplitude-Modulation Systems , 1975, IEEE Trans. Commun..

[9]  Mikael Coldrey,et al.  Training-Based MIMO Systems—Part I: Performance Comparison , 2007, IEEE Transactions on Signal Processing.

[10]  Lasse Vuokko,et al.  Comparison of MIMO antenna configurations in picocell and microcell environments , 2003, IEEE J. Sel. Areas Commun..

[11]  P. Balaban,et al.  Statistical distribution of parameters in a variable delay two-ray propagation model , 1989, IEEE Global Telecommunications Conference, 1989, and Exhibition. 'Communications Technology for the 1990s and Beyond.

[12]  Helmut Bölcskei,et al.  An overview of MIMO communications - a key to gigabit wireless , 2004, Proceedings of the IEEE.

[13]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[14]  Ali Hajimiri,et al.  A general theory of phase noise in electrical oscillators , 1998 .

[15]  Gerard J. Foschini,et al.  Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas , 1996, Bell Labs Technical Journal.

[16]  Charles L. Despins,et al.  Estimating the capacity of a frequency-selective fading mobile radio channel with antenna diversity , 1994, Proceedings of IEEE Vehicular Technology Conference (VTC).

[17]  John B. Anderson Digital Transmission Engineering , 1998 .

[18]  Mattias Wennstr,et al.  ON MIMO SYSTEMS AND ADAPTIVE ARRAYS FOR WIRELESS COMMUNICATION Analysis and Practical Issues , 2002 .

[19]  Frode Bøhagen,et al.  Modeling, Characterization and Design of Line-of-Sight Wireless MIMO Channels , 2007 .

[20]  Jack H. Winters,et al.  On the Capacity of Radio Communication Systems with Diversity in a Rayleigh Fading Environment , 1987, IEEE J. Sel. Areas Commun..

[21]  Helmut Bölcskei,et al.  Outdoor MIMO wireless channels: models and performance prediction , 2002, IEEE Trans. Commun..

[22]  Kil Nam Oh,et al.  Modified constant modulus algorithm: blind equalization and carrier phase recovery algorithm , 1995, Proceedings IEEE International Conference on Communications ICC '95.

[23]  A. Constantinides,et al.  Blind source separation for BLAST , 2002, 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628).

[24]  Michael G. Larimore,et al.  Convergence behavior of the constant modulus algorithm , 1983, ICASSP.

[25]  Andreas Hutter,et al.  Analysis of MIMO capacity gains for indoor propagation channels with LOS component , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[26]  Vinko Erceg,et al.  Dual-polarization versus single-polarization MIMO channel measurement results and modeling , 2006, IEEE Transactions on Wireless Communications.

[27]  Aïssa Ikhlef,et al.  Blind recovery of MIMO QAM signals: A criterion with its convergence analysys , 2006, 2006 14th European Signal Processing Conference.

[28]  J. Treichler,et al.  A new approach to multipath correction of constant modulus signals , 1983 .

[29]  G.E. Oien,et al.  Optimal Design of Uniform Planar Antenna Arrays for Strong Line-of-Sight MIMO Channels , 2006, 2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications.

[30]  Thomas Haustein,et al.  Smart geometrical antenna design exploiting the LOS component to enhance a MIMO System based on Rayleigh-fading in indoor scenarios , 2003, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003..

[31]  B. Barrow Diversity Combination of Fading Signals with Unequal Mean Strengths , 1963 .

[32]  D. A. de Wolf,et al.  Rayleigh-Mie approximation for line-of-sight propagation through rain at 5-90 GHz , 1996 .

[33]  Rodger E. Ziemer,et al.  Introduction to digital communication , 1992 .

[34]  M. Viberg,et al.  Superimposed periodic pilots for blind channel estimation , 2001, Conference Record of Thirty-Fifth Asilomar Conference on Signals, Systems and Computers (Cat.No.01CH37256).

[35]  P. Larsson Lattice array receiver and sender for spatially orthonormal MIMO communication , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[36]  D. Godard,et al.  Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems , 1980, IEEE Trans. Commun..

[37]  Mikael Coldrey,et al.  Modeling and Capacity of Polarized MIMO Channels , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[38]  Yonghong Zeng,et al.  Blind MIMO channel estimation method tolerating order overestimation , 2002, The 8th International Conference on Communication Systems, 2002. ICCS 2002..

[39]  F. Mazzenga Channel estimation and equalization for M-QAM transmission with a hidden pilot sequence , 2000 .

[40]  Babak Hassibi,et al.  How much training is needed in multiple-antenna wireless links? , 2003, IEEE Trans. Inf. Theory.

[41]  IEEE TRANSACTIONS ON SIGNAL PROCESSING 1 On Downlink Beamforming with Indefinite Shaping Constraints , 2022 .

[42]  Fredrik Tufvesson,et al.  Channel estimation with superimposed pilot sequence , 1999, Seamless Interconnection for Universal Services. Global Telecommunications Conference. GLOBECOM'99. (Cat. No.99CH37042).

[43]  Brian M. Sadler,et al.  Pilot Assisted Wireless Transmissions † , 2004 .

[44]  G.T. Zhou,et al.  A first-order statistical method for channel estimation , 2003, IEEE Signal Processing Letters.

[45]  Dirk T. M. Slock,et al.  Semiblind channel estimation for MIMO spatial multiplexing systems , 2001, Conference Record of Thirty-Fifth Asilomar Conference on Signals, Systems and Computers (Cat.No.01CH37256).

[46]  Mahesh K. Varanasi,et al.  Beamforming, diversity, and interference rejection for multiuser communication over fading channels with a receive antenna array , 2003, IEEE Trans. Commun..

[47]  Lester A. Gerhardt,et al.  Adaptive digital filters , 1973, CDC 1973.