Smart antenna system analysis, integration and performance for mobile ad-hoc networks (MANETs)

This paper focuses on the interaction and integration of several critical components of a mobile ad-hoc network (MANET) using smart antenna systems. A MANET is a wireless network where the communicating nodes are mobile and the network topology is continuously changing. One of the central motivations for this work comes from the observed dependence of the overall network throughput on the design of the adaptive antenna system and its underlying signal processing algorithms. In fact, a major objective of this work is to study and document the overall efficiency of the network in terms of the antenna pattern and the length of the training sequence used by the beamforming algorithms. This study also considers in sufficient detail problems dealing with the choice of direction of arrival algorithm and the performance of the adaptive beamformer in the presence of antenna coupling effects. Furthermore, the paper presents strategies and algorithms to combat the effects of fading channels on the overall system.

[1]  Peter Strobach.  Two-dimensional equirotational stack subspace fitting with an application to uniform rectangular arrays and ESPRIT , 2000, IEEE Trans. Signal Process..

[2]  J. H. Winters,et al.  The diversity gain of transmit diversity in wireless systems with Rayleigh fading , 1994, Proceedings of ICC/SUPERCOMM'94 - 1994 International Conference on Communications.

[3]  J. H. Winters.  Signal acquisition and tracking with adaptive arrays in the digital mobile radio system IS-54 with flat fading , 1993 .

[4]  Nitin H. Vaidya,et al.  Medium access control protocols using directional antennas in ad hoc networks , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[5]  J. H. Winters.  Signal acquisition and tracking with adaptive arrays in wireless systems , 1993, IEEE 43rd Vehicular Technology Conference.

[6]  Jack H. Winters,et al.  Optimum Combining for Indoor Radio Systems with Multiple Users , 1987, IEEE Trans. Commun..

[7]  Geoffrey S Hilton,et al.  Mutual coupling compensation in small planar array antennas , 1998 .

[8]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[9]  Ralph Otto Schmidt,et al.  A signal subspace approach to multiple emitter location and spectral estimation , 1981 .

[10]  Björn E. Ottersten,et al.  Multiple invariance ESPRIT , 1992, IEEE Trans. Signal Process..

[11]  Thomas Kailath,et al.  ESPRIT-estimation of signal parameters via rotational invariance techniques , 1989, IEEE Trans. Acoust. Speech Signal Process..

[12]  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..

[13]  K. J. Ray Liu,et al.  Software radio architecture with smart antennas: a tutorial on algorithms and complexity , 1999, IEEE J. Sel. Areas Commun..

[14]  Peter Strobach.  Equirotational stack parameterization in subspace estimation and tracking , 2000, IEEE Trans. Signal Process..

[15]  B.D. Van Veen,et al.  Beamforming: a versatile approach to spatial filtering , 1988, IEEE ASSP Magazine.

[16]  S. Raman,et al.  Design of "chip-scale" patch antennas for 5-6 GHz wireless microsystems , 2001, IEEE Antennas and Propagation Society International Symposium. 2001 Digest. Held in conjunction with: USNC/URSI National Radio Science Meeting (Cat. No.01CH37229).

[17]  Peter Strobach.  Bi-iteration multiple invariance subspace tracking and adaptive ESPRIT , 2000, IEEE Trans. Signal Process..

[18]  Robert E. Hiromoto,et al.  A MAC protocol for mobile ad hoc networks using directional antennas , 2000, 2000 IEEE Wireless Communications and Networking Conference. Conference Record (Cat. No.00TH8540).

[19]  Gottfried Ungerboeck,et al.  Channel coding with multilevel/phase signals , 1982, IEEE Trans. Inf. Theory.

[20]  Jack M. Winters,et al.  Optimum Combining in Digital Mobile Radio with Cochannel Interference , 1984, IEEE Journal on Selected Areas in Communications.

[21]  Björn E. Ottersten,et al.  Sensor array processing based on subspace fitting , 1991, IEEE Trans. Signal Process..

[22]  S. Thomas Alexander,et al.  Adaptive Signal Processing , 1986, Texts and Monographs in Computer Science.

[23]  Michael D. Zoltowski,et al.  Closed-form 2-D angle estimation with rectangular arrays in element space or beamspace via unitary ESPRIT , 1996, IEEE Trans. Signal Process..

[24]  Gordon L. Stuber,et al.  Principles of Mobile Communication , 1996 .

[25]  Richard D. Gitlin,et al.  The impact of antenna diversity on the capacity of wireless communication systems , 1994, IEEE Trans. Commun..

[26]  H. Steyskal,et al.  Mutual coupling compensation in small array antennas , 1990 .

[27]  Theodore S. Rappaport,et al.  Smart Antennas for Wireless Communications: Is-95 and Third Generation Cdma Applications , 1999 .

[28]  D. D. Weiner,et al.  A generalized treatment of mutual coupling compensation for ESPRIT , 1989, IEEE International Symposium on Circuits and Systems,.

[29]  Peter Strobach,et al.  Total least squares phased averaging and 3-D ESPRIT for joint azimuth-elevation-carrier estimation , 2001, IEEE Trans. Signal Process..

[30]  R. H. Roy.  An overview of smart antenna technology: the next wave in wireless communications , 1998, 1998 IEEE Aerospace Conference Proceedings (Cat. No.98TH8339).

[31]  J. H. Winters.  The diversity gain of transmit diversity in wireless systems with Rayleigh fading , 1998 .

[32]  Thomas Kailath,et al.  Azimuth/elevation direction finding using regular array geometries , 1992 .

[33]  R. Bansal,et al.  Antenna theory; analysis and design , 1984, Proceedings of the IEEE.