Efficient use of side information in multiple-antenna data transmission over fading channels

Narula, Aradhana; Lopez, Michael J.; Trott, M.D.; Wornell, Gregory W.

doi:10.1109/49.730451

Cited by 669 publications

(552 citation statements)

References 24 publications

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“…unit-variance Rayleigh-faded entries. For the channel in (23), achieving capacity when the transmitter knows the distribution but not the realization of requires that signaling take place on the eigenspace of [17]- [22]. We therefore consider only input covariances of the form where contains the eigenvectors of while where denotes the power allocated to the th such eigenvector.…”

Section: Correlated Rayleigh-faded Channelsmentioning

confidence: 99%

High-SNR power offset in multi-antenna communication

Lozano¹,

Tulino

Verdú

International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.

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Abstract-The analysis of the multiple-antenna capacity in the highregime has hitherto focused on the highslope (or maximum multiplexing gain), which quantifies the multiplicative increase as a function of the number of antennas. This traditional characterization is unable to assess the impact of prominent channel features since, for a majority of channels, the slope equals the minimum of the number of transmit and receive antennas. Furthermore, a characterization based solely on the slope captures only the scaling but it has no notion of the power required for a certain capacity. This paper advocates a more refined characterization whereby, as a function of dB , the high-capacity is expanded as an affine function where the impact of channel features such as antenna correlation, unfaded components, etc., resides in the zero-order term or power offset. The power offset, for which we find insightful closed-form expressions, is shown to play a chief role for levels of practical interest.

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Section: Correlated Rayleigh-faded Channelsmentioning

confidence: 99%

High-SNR power offset in multi-antenna communication

Lozano¹,

Tulino

Verdú

International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.

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“…By denoting with W(S) =H(S) the right pseudo-inverse of H(S ) the ZF transmit matrix is given by (3) where p is the vector of power normalization coefficients imposing the power constraint P on the transmitted signal. Under the assumption of equal power distribution across users, p has elements (4)…”

Section: Zero-forcing Beamformingmentioning

confidence: 99%

A Tradeoff among Fsc and Csi in Multiple Networking Systems

Mahesh¹,

Leelavathi²

2014

IOSRJECE

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“…There are several studies dealing with how to feed back the channel information. Some researchers have worked on feedback of channel information in vector forms, for example, for MISO channels [1], [2], [3] and for the principal eigen-mode of MIMO channels [4]. Only recently, feedback of channel information in matrix forms for MIMO channels have begun to be addressed [5], [6], [7].…”

Section: Introductionmentioning

confidence: 99%

MIMO spatial multiplexing systems with limited feedback

Roh

Rao

2005

IEEE International Conference on Communications, 2005. ICC 2005. 2005

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Abstract-This paper investigates the problem of transmit beamforming in MIMO spatial multiplexing (SM) systems with finite-rate feedback channel. Assuming a fixed number of spatial channels and equal power allocation, we propose a new design criterion for designing the codebook of beamforming matrices that is based on minimizing the capacity loss resulting from the limited rate in the feedback channel. Using the criterion, we develop an iterative design algorithm that converges to an optimum codebook. Under the i.i.d. channel and high SNR assumption, the effect on channel capacity of the finite-bit representation of beamforming matrix is analyzed. Central to this analysis is the complex multivariate beta distribution and tractable approximations to the Voronoi regions associated with the code points. Furthermore, to compensate for the degradation due to the equal power allocation assumption, we propose a multimode SM transmission strategy wherein the number of data streams is determined based on the average SNR. This approach is shown to allow for effective utilization of the feedback bits. I. INTRODUCTIONThe performance of a multiple-antenna communication system depends on the nature of channel state information (CSI) available at the transmitter and at the receiver. When the transmitter has perfect CSI, a higher capacity link can be achieved in the single user case, and there are other benefits such as lower-complexity receivers and better system throughput in a multiuser environment. However, the assumption that the transmitter has perfect knowledge of multi-dimensional channel could be unrealistic as in many practical systems the channel information is provided to the transmitter through a finite-rate feedback channel. There are several studies dealing with how to feed back the channel information. Some researchers have worked on feedback of channel information in vector forms, for example, for MISO channels [1], [2], [3] and for the principal eigen-mode of MIMO channels [4]. Only recently, feedback of channel information in matrix forms for MIMO channels have begun to be addressed [5], [6], [7]. In this paper, we develop efficient transmit beamforming techniques for MIMO spatial multiplexing (SM) systems with finite-rate feedback.The contributions of the paper are as follows. First, a tractable measure of capacity loss due to finite feedback rate is derived and used to design an optimal codebook of beamforming matrices in the context of a fixed number of spatial channels with equal power allocation. The efficacy of the approach is demonstrated by using it to design quantizers in

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Efficient use of side information in multiple-antenna data transmission over fading channels

Cited by 669 publications

References 24 publications

High-SNR power offset in multi-antenna communication

High-SNR power offset in multi-antenna communication

A Tradeoff among Fsc and Csi in Multiple Networking Systems

MIMO spatial multiplexing systems with limited feedback

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