View Item 

Space-time power schedule for distributed MIMO links without instantaneous channel state information at the transmitting nodes

Access Status
Open access
Authors
Rong, Yue
Hua, Y.
Swami, A.
Swindlehurst, A.
Date
2008
Type
Journal Article

Metadata
Show full item record
Citation
Rong, Yue and Hua, Yingbo and Swami, Ananthram and Swindlehurst, A. 2008. Space-time power schedule for distributed MIMO links without instantaneous channel state information at the transmitting nodes. IEEE Transactions on Signal Processing. 56 (2): pp. 686-701.
Source Title
IEEE Transactions on Signal Processing
DOI
ISSN
Faculty
School of Electrical Engineering and Computing
Department of Electrical and Computer Engineering
Faculty of Science and Engineering
Remarks

Copyright © 2008 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI
Collection
Abstract

A space-time optimal power schedule for multiple distributed multiple-input multiple-output (MIMO) links without the knowledge of the instantaneous channel state information (CSI) at the transmitting nodes is proposed. A readily computable expression for the ergodic sum capacity of the MIMO links is derived. Based on this expression, which is a non-convex function of power allocation vectors, a projected gradient algorithm is developed to optimize the power allocation. For a symmetric set of MIMO links with independent identically distributed channels, it is observed that the space-time optimal power schedule reduces to a uniform isotropic power schedule when nominal interference is low, or to an orthogonal isotropic power schedule when nominal interference is high. Furthermore, the transition region between the latter two schedules is seen to be very sharp in terms of nominal interference-to-noise ratio (INR). For MIMO links with correlated channels, the corresponding space-time optimal power schedule is developed based on the knowledge of the channel correlation matrices. It is shown that the channel correlation has a great impact on the ergodic capacity and the optimality of different power scheduling approaches.