QoS constrained power minimization in the multiple stream MIMO broadcast channel

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Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC-BY-NC-ND 4.0)
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QoS constrained power minimization in the multiple stream MIMO broadcast channelDate
2018-02Citation
González-Coma, J. P., Joham, M., Castro, P. M., & Castedo, L. (2018). QoS constrained power minimization in the multiple stream MIMO broadcast channel. Signal Processing, 143, 48–55. https://doi.org/10.1016/j.sigpro.2017.08.015
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https://doi.org/10.1016/j.sigpro.2017.08.015
Abstract
[Abstract]: This work addresses the design of optimal linear transmit filters for the Multiple Input-Multiple Output (MIMO) Broadcast Channel (BC) when several spatial streams are allocated to each user. We further consider that the Channel State Information (CSI) is perfect at the receivers but is only partial at the transmitter. A statistical model for the partial CSI is assumed and exploited for the filter design. The relationship between average rate and average Mean Square Error (MSE) is studied to determine the optimal way to distribute the per-user rates among the streams. Finally, the feasible average sum-MSE (sMSE) region is studied and the impact of the CSI uncertainty over the overall system performance is evaluated.
Keywords
Multiple-Input Single-Output
Broadcast channel
Imperfect CSI
QoS constraints
Multiple stream
Broadcast channel
Imperfect CSI
QoS constraints
Multiple stream
Description
This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/
licenses/by-nc-nd/4.0/. This version of the article: González-Coma, J. P., Joham, M., Castro, P. M., & Castedo, L. (2018).
'QoS constrained power minimization in the multiple stream MIMO broadcast channel', has been accepted for
publication in Signal Processing, 143, 48–55. The Version of Record is available online at: https://doi.org/10.1016/
j.sigpro.2017.08.015.
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Rights
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC-BY-NC-ND 4.0)
ISSN
0165-1684