Uppsala universitet

A Taxonomy of Space-Time Processing for Wireless Networks

Arogyaswami J. Paulraj, Stanford University, and Erik Lindskog , Uppsala University

IEE Proceedings on Radar, Sonar and Navigation, vol 145, no 1, February 1998.


Outline:
Cellular radio signal processing functions include modulation/demodulation, channel coding/decoding, equalization and diversity combining. These functions are performed by the radio modem. Current cellular radio modems do not, however, efficiently exploit the spatial dimension offered by multiple antennas.

The spatial domain can be used to reduce co-channel interference (CCI), increase diversity gain, improve array gain, and reduce intersymbol interference (ISI). These improvements can have significant impact on the overall performance of a wireless network. Modems that operate with multiple antennas in receive and in transmit can exploit the spatial domain by performing {\it space-time processing} (STP).

Receive STP improves signal to interference ratio through CCI cancellation, mitigates fading through improved receive diversity, offers higher signal to noise ratio through array gain and reduces ISI through spatial equalization. Likewise, transmit STP reduces CCI generation, improves transmit diversity and in some cases also minimizes ISI generation. In this paper, we present a taxonomy of space-time processing.

Abstract:
A taxonomy of space-time signal processing for wireless networks is presented. The taxonomy is addressed in terms of architectural and algorithmic classification and the influence of the propagation channel on the space-time processing is discussed. The architecture is classified according to link structure, channel reuse and multiple access scheme. Algorithms are classified into channel estimation methods, TDMA and CDMA receive algorithms and space-time transmit algorithms. Finally the effects of Doppler spread, delay spread and angle spread on space-time processing are discussed.

Related publications:
PhD Thesis by Erik Lindskog.
Licentiate Thesis by Erik Lindskog.
PhD Thesis by Claes Tidestav.

Source:
Postscript, 480K (A4) ; Postscript, 480K (Letter)
In Pdf, 590K (A4) ; In Pdf, 590K (Letter)

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