Space Division Multiple Access for Wireless Local Area by Patrick Vandenameele, Liesbet Van Der Perre, Marc Engels PDF

By Patrick Vandenameele, Liesbet Van Der Perre, Marc Engels

ISBN-10: 0306473240

ISBN-13: 9780306473241

ISBN-10: 0792374614

ISBN-13: 9780792374619

Wireless neighborhood zone Networks (WLANs) are experiencing a transforming into value lately. while WLANs have been basically used for area of interest functions long ago, they're now deployed as instant extensions to computing device networks. the rise of the datarates from 2 Mbps as much as eleven Mbps for approximately a continuing cost has performed a tremendous function during this leap forward. to that end, a fair larger good fortune could be estimated for the more moderen OFDM-based WLAN criteria within the five GHz band that provide as much as fifty four Mbps. At IMEC we've learned this strength already numerous years in the past and feature tested a winning learn application on OFDM-based WLAN. this system led to an operational prototype of a five GHz OFDM method. the long term ambitions of this software are to increase the indoor diversity of the WLAN structures as much as a hundred m and to extend the ability above a hundred Mbps. pushed via those pursuits, Patrick launched into the use of a number of antenna recommendations and, extra specifically, area department a number of entry (SDMA) for WLAN because the subject for his doctoral learn. in this examine, key contributions have been made in the direction of making SDMA for WLAN a fact. to call a couple of: A uncomplicated scheme for combining OFDM and SDMA was once proposed. additionally reasonable non-linear detection tools have been built. those me- ods in achieving a excessive implementation potency, via exploiting the p- allelism of the information version and the frequency-selectivity of the pr- agation channel.

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Space Division Multiple Access for Wireless Local Area by Patrick Vandenameele, Liesbet Van Der Perre, Marc Engels PDF

Instant neighborhood sector Networks (WLANs) are experiencing a becoming value lately. while WLANs have been basically used for area of interest functions some time past, they're now deployed as instant extensions to laptop networks. the rise of the datarates from 2 Mbps as much as eleven Mbps for about a continuing cost has performed a big position during this step forward.

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1999; Krim and Viberg, 1996; Godara, 1997; Liberti and Rappaport, 1999; Andersen, 1998). 1 provides a taxonomy of system architectures for array processing. More specifically, it discusses link structure, interaction with the medium access method and array geometry. 2 provides a taxonomy of combining algorithms for array processing. More specifically, it distinguishes between non-adaptive combining, adaptive combining with a spatial reference and adaptive combining with a temporal reference. 1.

1998; Qureshi, 1985). They are commonly referred to as space-time processing algorithms. As opposed to the spatial reference algorithms, they do not rely on the underlying geometrical structure. Although exceptions exist, their functionality can normally be split in a channel estimation and a symbol detection component. For conciseness, only receive-mode processing is described in this chapter. Note however that the linear filtering techniques for detection can also be used for pre-compensation in transmit-mode.

As stated before, this receiver structure is optimal when no interference is present. 6, which shows the BER vs. SNR curves of MRC (in solid lines) and those of selection diversity (in dashed lines), with the number of diversity branches A as a parameter. 38 SPACE DIVISION MULTIPLE ACCESS FOR WIRELESS LAN The effect of non-zero correlation between the diversity branches can be captured analytically by considering a correlation matrix This matrix can be decomposed as in which U is a unitary matrix (An matrix A is unitary iff with the eigenvectors as columns, and a diagonal matrix with the eigenvalues as diagonal elements.

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Space Division Multiple Access for Wireless Local Area Networks by Patrick Vandenameele, Liesbet Van Der Perre, Marc Engels


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