Ergodic mutual information of full-duplex MIMO radios with residual self-interference

We study the theoretical performance of a full duplex multiple-input multiple-output (MIMO) bi-directional communication system. We focus on the effect of the residual self-interference due to channel estimation errors and transmitter impairments. We assume that the instantaneous channel state infor...

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Main Authors: Cirik, A., Rong, Yue, Hua, Y.
Other Authors: Philip Schniter
Format: Conference Paper
Published: IEEE 2013
Online Access:http://hdl.handle.net/20.500.11937/34993
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author Cirik, A.
Rong, Yue
Hua, Y.
author2 Philip Schniter
author_facet Philip Schniter
Cirik, A.
Rong, Yue
Hua, Y.
author_sort Cirik, A.
building Curtin Institutional Repository
collection Online Access
description We study the theoretical performance of a full duplex multiple-input multiple-output (MIMO) bi-directional communication system. We focus on the effect of the residual self-interference due to channel estimation errors and transmitter impairments. We assume that the instantaneous channel state information (CSI) at the transmitting nodes is not known and the CSI at the receiving nodes is imperfect. To maximize the system ergodic mutual information, which is a non-convex function of power allocation vectors at the nodes, a gradient projection (GP) algorithm is developed to optimize the power allocation vectors. This algorithm exploits both spatial and temporal freedoms of the source covariance matrices of the MIMO links between the nodes to achieve higher sum ergodic mutual information. It is observed through the simulations that the algorithm reduces to a full-duplex scheme when the nominal residual self-interference is low, or to a half-duplex scheme when the nominal residual self-interference is high.
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institution Curtin University Malaysia
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publishDate 2013
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spelling curtin-20.500.11937-349932017-09-13T15:53:51Z Ergodic mutual information of full-duplex MIMO radios with residual self-interference Cirik, A. Rong, Yue Hua, Y. Philip Schniter We study the theoretical performance of a full duplex multiple-input multiple-output (MIMO) bi-directional communication system. We focus on the effect of the residual self-interference due to channel estimation errors and transmitter impairments. We assume that the instantaneous channel state information (CSI) at the transmitting nodes is not known and the CSI at the receiving nodes is imperfect. To maximize the system ergodic mutual information, which is a non-convex function of power allocation vectors at the nodes, a gradient projection (GP) algorithm is developed to optimize the power allocation vectors. This algorithm exploits both spatial and temporal freedoms of the source covariance matrices of the MIMO links between the nodes to achieve higher sum ergodic mutual information. It is observed through the simulations that the algorithm reduces to a full-duplex scheme when the nominal residual self-interference is low, or to a half-duplex scheme when the nominal residual self-interference is high. 2013 Conference Paper http://hdl.handle.net/20.500.11937/34993 10.1109/ACSSC.2013.6810572 IEEE fulltext
spellingShingle Cirik, A.
Rong, Yue
Hua, Y.
Ergodic mutual information of full-duplex MIMO radios with residual self-interference
title Ergodic mutual information of full-duplex MIMO radios with residual self-interference
title_full Ergodic mutual information of full-duplex MIMO radios with residual self-interference
title_fullStr Ergodic mutual information of full-duplex MIMO radios with residual self-interference
title_full_unstemmed Ergodic mutual information of full-duplex MIMO radios with residual self-interference
title_short Ergodic mutual information of full-duplex MIMO radios with residual self-interference
title_sort ergodic mutual information of full-duplex mimo radios with residual self-interference
url http://hdl.handle.net/20.500.11937/34993