Citations: Deconstructingmulti-antenna fading channels

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A. M. Sayeed, "Deconstructing multiantenna fading channels," IEEE Transactions on Signal Processing, vol. 50, no. 10, pp. 2563--2579, Oct. 2002.

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Spatial Decomposition Of Mimo Wireless Channels - Thushara Abhayapala Tony (2003) (2 citations) (Correct)

....significance because the antenna configuration is not modelled, hence they do not provide any insight into spatial aspects of MIMO channels and are not an ideal framework to build space time communication systems. Recent work related to better understanding of MIMO systems are reported in [4, 5, 6, 7, 8, 9]. The spatial channel model proposed in [8] is more general and realistic than the Research partially supported by the Australian Research Council. usual independent models, however it is based on uniform linear array antennas and discrete set of scatterers around the transmitter and the receiver ....

....than the Research partially supported by the Australian Research Council. usual independent models, however it is based on uniform linear array antennas and discrete set of scatterers around the transmitter and the receiver arrays limiting its generality. Another similar model is appeared in [9], where a general physical model is used to derive a virtual channel representation comprise of sets of virtual departing angles, arrival angles and scatterers. Again this model is only applicable to uniform linear arraya. Both of the above models have been used in good effect to study the ....

A.M. Sayeed, "Deconstructing multiantenna fading channels," IEEE Trans. Sig. Proc., vol. 50, pp. 2563-- 2579, Oct. 2002.

Novel 3D Spatial Wireless Channel Model - Thushara Abhayapala Tony (Correct)

....well as the maximal exploitation of the spatial dimension need better modelling of the channel. In this paper, we introduce a 3D spatial model based on spatial basis function decomposition of multipath wave fields. Recent work related to better understanding of MIMO systems are reported in [3] [8]. The spatial channel models proposed in [7] and [8] are more general and realistic than the usual independent models, however they are based on uniform linear array antennas and discrete set of scatterers around the transmitter and the receiver arrays limiting their generality. The proposed ....

....need better modelling of the channel. In this paper, we introduce a 3D spatial model based on spatial basis function decomposition of multipath wave fields. Recent work related to better understanding of MIMO systems are reported in [3] 8] The spatial channel models proposed in [7] and [8] are more general and realistic than the usual independent models, however they are based on uniform linear array antennas and discrete set of scatterers around the transmitter and the receiver arrays limiting their generality. The proposed spatial channel model in this paper is valid for ....

A.M. Sayeed, "Deconstructing multiantenna fading channels," IEEE Trans. Sig. Proc., vol. 50, pp. 2563--2579, Oct. 2002.

The Essential Degrees of Freedom in Space-Time - Fading Channels Akbar Self-citation (Sayeed) (Correct)

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A. M. Sayeed, "Deconstructing multi-antenna fading channels," to appear in the IEEE Trans. Signal Processing, 2002.

Capacity Scaling and Spectral Efficiency in Wideband Correlated.. - Vasanthan (2002) (1 citation) Self-citation (Sayeed) (Correct)

....matrix. Such idealized channels seldom, if ever, occur in practice, particularly with practically feasible antenna spacings. Several experimental and analytical studies have shown that the capacity of realistic MIMO channels can be significantly less than that of i.i.d. models (see [3] 4] 5] [6]. Idealized statistical models, such as those used in [1] 2] represent one extreme in existing modeling approaches. On the other extreme are detailed physical (ray tracing) models that describe the channel via signal propagation over multiple paths, each path associated with an angle of ....

....Our focus is on systems that use uniform linear arrays (ULA s) of antennas at both the transmitter and receiver. We assume that the channel is unknown at the transmitter but perfectly known at the receiver. The workhorse of our analysis is a recently introduced virtual representation of narrowband [6] and wideband MIMO channels [11] 12] that provides an intuitive and tractable characterization of realistic physical models and yields useful insights into the effects of scattering characteristics on channel capacity. The virtual representation is based on the simple but fundamental observation ....

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A. M. Sayeed, "Deconstructing multi-antenna fading channels," IEEE Trans. Signal Processing, vol. 50, no. 10, pp. 2563--2579, Oct. 2002.

Transmit Signal Design for Optimal Estimation of Correlated.. - Kotecha, Sayeed (2002) Self-citation (Sayeed) (Correct)

....degrees of freedom and hence fewer than PQ parameters need to be estimated. In this paper, we consider a general model for correlated MIMO channels. Two important channel models are special cases for our general model. The first example is the virtual channel representation recently proposed in [6] for uniform linear arrays (ULA) at both the transmitter and receiver. The virtual model characterizes the channel in the spatial domain by beamforming in the direction of fixed virtual angles determined by the spatial resolution of the antenna arrays, and is analogous to representing the channel ....

....of this scattering geometry and estimation of the corresponding non vanishing channel coefficients. In fact, the non zero blocks in the virtual matrix indicate the directions in which scattering clusters are present and the couplings between the corresponding virtual transmit and receive angles [6]. Our optimum channel estimation design exploits this structure. The second example is the channel where the correlation in the transmit and receive arrays induce correlation in the rows and columns of the channel matrix [7] 8] 9] This is often called covariance feedback. The assumption is ....

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A. M. Sayeed, "Deconstructing multi-antenna fading channels," IEEE Transactions of Signal Processing, Oct. 2002.

Space-Time D-Block Codes via the Virtual MIMO Channel.. - Liu, Sayeed (2002) Self-citation (Sayeed) (Correct)

....mathematical tractability. These works have yielded many elegant results and precious insights. However, realistic MIMO exhibit correlated fading due to clustered scattering that can substantially reduce the intrinsic diversity and degrees of freedom in the MIMO channel. Recent studies (see, e.g. [5], 6] 7] have demonstrated that capacity of correlated channels can significantly deviate from that of iid channels. Moreover, channel correlation causes mismatch with code design criteria derived from the iid channel model, thereby resulting in performance degradation, severe in many cases, of ....

....of correlated MIMO channels is partly due to the lack of tractable channel models that characterize such structure. In this paper, we attack the problem of space time code design for correlated channels based on the recently introduced virtual channel representation for MIMO fading channels [5]. The virtual representation keeps the essence of physical modeling (without its complexity) as well as the tractability of the idealized statistical model. It yields a linear channel characterization in terms of fixed spatial basis functions (defined by fixed virtual angles) whose expansion ....

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A. M. Sayeed, "Deconstructing multi-antenna fading channels," IEEE Trans. Signal Processing, vol. 50, no. 10, pp. 2563--2579, Oct. 2002.

Spatial Multiplexing in Correlated Fading via the Virtual .. - Hong, Liu, Jr., Sayeed (2002) Self-citation (Sayeed) (Correct)

....between different transmit receive antenna pairs exhibit correlation due to clustered scattering in realistic environments and the relatively small antenna spacings. In such realistic conditions, the capacity of MIMO channels can be substantially lower depending on the level of correlation [7] [8]. Therefore, a channel model that accurately captures the characteristics of the propagation environment is needed for realistic capacity assessments as well as for designing space time modulation and coding techniques that are matched to channel statistics. Parametric physical models (see, e.g. ....

....them rather difficult to be incorporated in transceiver design, explicit capacity calculations and space time code design. In this paper we propose a framework for spatial multiplexing in correlated MIMO channels using a virtual representation for MIMO channels that has been introduced recently [8]. The virtual representation captures the essence of physical modeling without its complexity, provides a tractable linear channel characterization, and offers a simple and transparent interpretation of the effects of scattering and array characteristics on channel capacity and diversity. The ....

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A. M. Sayeed, "Deconstructing multiantenna fading channels," IEEE Trans. Signal Processing, vol. 50, pp. 2563--2579, October 2002.

The Essential Degrees of Freedom in Space-Time Fading Channels - Sayeed, Veeravalli (2002) Self-citation (Sayeed) (Correct)

....temporal, spectral and spatial dimensions that in turn determine its statistics, capacityand diversity. Second, via the concept of virtual scatterers, the virtual representation also yields a simple and intuitively appealing interpretation of the scattering environmentand its effects on capacity [1]. Finally, the representation induces a virtual partitioning of propagation paths that explicitly reveals their contribution to channel capacityand diversity. In particular, it unravels fundamental dependencies in time, frequency and space that enables accurate estimates of channel capacity. The ....

....the normalized antenna spacing. In this paper, we will restrict ourselves to critical ( 2) spacing: ff T = ff R =0:5. In this case, there is a one to one mapping between [ 0:5# 0:5] and OE [ 2#=2] The effect of larger antenna spacing on capacity and diversity is discussed in detail in [1]. The channel matrix H(t# f) can be generally modeled as f) N X n=1 fi n aR ( R#n )a T ( T#n )e j2n t ;j2n f (3) which corresponds to signal propagation along N paths with T#n [S T; #S T ] 0:5# 0:5)g and R#n [S R; #S R ] 0:5# 0:5)g as the spatial angles ....

A. M. Sayeed, "Deconstructingmulti-antenna fading channels," to appear in the IEEE Trans. Signal Processing, 2002.

Space-Time MIMO Channel Modelling using Angular Power.. - Terence Betlehem Thushara (Correct)

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A. M. Sayeed, "Deconstructing multiantenna fading channels," IEEE Transactions on Signal Processing, vol. 50, no. 10, pp. 2563--2579, Oct. 2002.

Merl -- A Mitsubishi Electric Research Laboratory - Http Www Merl (2004) (Correct)

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A. M. Sayeed, "Deconstructing multiantenna fading channels," IEEE Trans. Signal Processing, vol. 50, pp. 2563--2579, Oct. 2002.

Characterization of 3D Spatial Wireless Channels - Thushara Abhayapala Tony (Correct)

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A.M. Sayeed, "Deconstructing multiantenna fading channels," IEEE Trans. Sig. Proc., vol. 50, pp. 2563--2579, Oct. 2002.

An Information Theoretic Point of View to MIMO Channel Modelling - Debbah (2003) (Correct)