Array gain and capacity for known random channels with multiple element arrays at both ends

Andersen, Jørgen Bach

doi:10.1109/49.895022

Cited by 404 publications

(239 citation statements)

References 7 publications

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“…Assuming that CSI is available at both the transmitter and receiver, the resulting array gain can be bounded by ( [9]), Å AE (6) where M and N are the number of antennas at the transmitter and receiver respectively. While the gain from adaptive array antennas does not degrade with an increase in the degree of multipath (scattering angle) unlike switched beam antennas, yet, when the angular spreads are significantly large at the transmitter and receiver, the low correlation existing between the different signal components bounds the gain as ( [9]), ỐÅ · Ô AEµ ¾…”

Section: Relevant Phy Layer Characteristicsmentioning

confidence: 99%

A Unified MAC Layer Framework for Ad-Hoc Networks With Smart Antennas

Sundaresan¹,

Sivakumar²

2007

IEEE/ACM Trans. Networking

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Smart antennas represent a broad variety of antennas that differ in their performance and transceiver complexity. The superior capabilities of smart antennas, however, can be leveraged only through appropriately designed higher layer network protocols, including at the medium access control (MAC) layer. Although several related works have considered such tailored protocols, they do so in the context of specific antenna technologies. In this paper, we explore the possibility for a unified approach to medium access control in ad-hoc networks with smart antennas. We first present a unified representation of the PHY layer capabilities of the different types of smart antennas, and their relevance to MAC layer design. We then define a unified MAC problem formulation, and derive unified MAC algorithms from the formulation. Finally, using the algorithms developed, we investigate the relative performance trade-offs of the different technologies under varying network conditions.

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Section: Relevant Phy Layer Characteristicsmentioning

confidence: 99%

A Unified MAC Layer Framework for Ad-Hoc Networks With Smart Antennas

Sundaresan¹,

Sivakumar²

2007

IEEE/ACM Trans. Networking

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“…Unfortunately, both the transmitter and receiver require MIMO signal processing and therefore a MS with reduced complexity may not be possible. Singular Value Decompsoition (SVD) [14,15,18] can be used to diagonalize the MIMO channels to form independent channels and water filling can then be applied to maximize capacity.…”

Section: Processing At Both the Receiver And Transmittermentioning

confidence: 99%

Antenna systems for broadband wireless access

2002

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“…This has inspired the use of singular value decomposition (SVD)-based MIMO transceiver architectures [2] [3]. Since multiple independent data streams can be transmitted simultaneously through these uncoupled eigenmodes, the overall data rate can be improved significantly [4].…”

Section: Introductionmentioning

confidence: 99%

Instantaneous Signal and Self-Interference Power of MIMO Eigenmode Transmission with Feedback Time Delay

Kuo

Smith

Garth

et al. 2006

2006 IEEE International Conference on Communications

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Abstract-Singular Value Decomposition (SVD) techniques are well-known for providing an elegant transceiver architecture, that can realize the intrinsic spatial links of a MIMO channel. Such a scheme is also referred to as eigen-beamforming or eigenmode transmission. The system performance is, however, closely related to the quality of the channel information at both ends of the link. Hence, we focus on the effect of feedback time delay, which causes the transmitter to use outdated channel information in timevarying fading channels. In this paper, we derive an analytical expression for the instantaneous SINR of eigenmode transmission with a feedback time delay τ . Furthermore, this expression implies a novel metric that gauges the system performance sensitivity to time-variations of the steering vectors (eigenvectors of the channel correlation matrix) at the transmitter.

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Array gain and capacity for known random channels with multiple element arrays at both ends

Cited by 404 publications

References 7 publications

A Unified MAC Layer Framework for Ad-Hoc Networks With Smart Antennas

A Unified MAC Layer Framework for Ad-Hoc Networks With Smart Antennas

Antenna systems for broadband wireless access

Instantaneous Signal and Self-Interference Power of MIMO Eigenmode Transmission with Feedback Time Delay

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