Environmental issues for MIMO capacity

Bliss, Daniel W.; Forsythe, K.W.; Hero, Alfred O.; Yegulalp, A.F.

doi:10.1109/tsp.2002.801914

Cited by 88 publications

(53 citation statements)

References 29 publications

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“…For low SNR links, this is the optimal water-filling solution [30]. More importantly here, this choice of rank will enable a clearer interpretation of the implication of nonideal effects of the hardware.…”

Section: A Ideal Relay Modelmentioning

confidence: 99%

Hardware phenomenological effects on cochannel full-duplex MIMO relay performance

Bliss

Hancock

Schniter

2012

2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)

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Abstract-In this paper, the performance of cochannel fullduplex multiple-input multiple-output (MIMO) nodes is considered in the context of models for realistic hardware characteristics. Here, cochannel full-duplex relay indicates a node that transmits and receives simultaneously in the same frequency band. It is assumed that transmit and receive phase centers are physically distinct, enabling adaptive spatial transmit and receive processing to mitigate self-interference. The use of MIMO indicates a self-interference channel with spatially diverse inputs and outputs, although multiple modes are not employed in this paper. Rather, we focus on rank-1 transmit covariance matrices. In practice, the limiting issue for cochannel full-duplex nodes is the ability to mitigate self-interference. While theoretically a system with infinite dynamic range and exact channel estimation can mitigate the self-interference perfectly, in practice, transmitter and receiver dynamic range, nonlinearities, and noise, as well as channel dynamics, limit the practical performance. In this paper, we investigate self-interference mitigation limitations in the context of eigenvalue spread of spatial transmit and receive covariance matrices caused by realistic hardware models.

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Section: A Ideal Relay Modelmentioning

confidence: 99%

Hardware phenomenological effects on cochannel full-duplex MIMO relay performance

Bliss

Hancock

Schniter

2012

2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)

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“…Then the optimum Q opt is given by [23] Q opt = Λ n + n + 0 0 0 n min n min (20) Theorem III.1: Under the power constraint tr {x (n) x (n) * } P and channel constraint i µ i = M r M t , the unique solution of the maximization channel capacity problem is:…”

Section: Holds Where Equality Is Achieved If and Only If A Is Diagonalmentioning

confidence: 99%

Mimo Radar Systems Design Based on Maximum Channel Capacity

Chen¹,

Ding²,

Li³

et al. 2011

PIER B

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Abstract-In this paper, we consider the problem of bistatic multipleinput multiple-output (MIMO) radar systems design for parameters estimation. Maximum channel capacity is used as criterion for the problem of optimal systems design under transmitted power constraint and channel constraint. We obtain that the system design based on maximum channel capacity can be expressed as a joint optimization problem. Given the number of transmit antenna, the number of receive antenna and signal-noise ratio (SNR), the maximum channel capacity can be determined. This maximum channel capacity can be obtained from a unique appropriate power allocation and antenna placement strategy, which is very important for system design.

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“…complex Gaussian random variables with zero mean and unit variance; i.e., real and imaginary parts are . Notice that this rich scattering assumption may eventually break down as the number of antennas becomes large [17]. A3) The combined path loss/shadow fading, denoted by for the channel between the th transmitter and the th receiver is i.i.d.…”

Section: Network Model and Assumptionsmentioning

confidence: 99%

MIMO communications in ad hoc networks

Chen

Gans²

2006

IEEE Trans. Signal Process.

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Abstract-We study in this paper the network spectral efficiency of a multiple-input multiple-output (MIMO) ad hoc network with simultaneous communicating transmitter-receiver pairs. Assuming that each transmitter is equipped with antennas and each receiver with antennas and each receiver implements single-user detection, we show that in the absence of channel state information (CSI) at the transmitters, the asymptotic network spectral efficiency is limited by nats/s/Hz as and is independent of and the transmit power. With CSI corresponding to the intended receiver available at the transmitter, we demonstrate that the asymptotic spectral efficiency is at least + + 2 nats/s/Hz. Asymptotically optimum signaling is also derived under the same CSI assumption, i.e., each transmitter knows the channel corresponding to its desired receiver only. Further capacity improvement is possible with stronger CSI assumption; we demonstrate this using a heuristic interference suppression transmit beamforming approach. The conventional orthogonal transmission approach is also analyzed. In particular, we show that with idealized medium access control, the channelized transmission has unbounded asymptotic spectral efficiency under the constant per-user power constraint. The impact of different power constraints on the asymptotic spectral efficiency is also carefully examined. Finally, numerical examples are given that confirm our analysis.Index Terms-Ad hoc networks, multiple-input multiple-output (MIMO) communications, spectral efficiency.

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Environmental issues for MIMO capacity

Cited by 88 publications

References 29 publications

Hardware phenomenological effects on cochannel full-duplex MIMO relay performance

Hardware phenomenological effects on cochannel full-duplex MIMO relay performance

Mimo Radar Systems Design Based on Maximum Channel Capacity

MIMO communications in ad hoc networks

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