On MAC-BC Duality of Multihop MIMO Relay Channel with Imperfect Channel Knowledge

In this paper, we establish the signal-to-interference-noise ratio (SINR) duality between multipleaccess (MAC) and broadcast (BC) multihop amplify-and-forward (AF) multiple-input multiple-output(MIMO) relay systems under an imperfect channel state model, which is a generalization of severalpreviousl...

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Main Authors: Cirik, A., Rong, Yue, Ma, Y., Hua, Y.
Format: Journal Article
Published: IEEE 2014
Subjects:
Online Access:http://purl.org/au-research/grants/arc/DP140102131
http://hdl.handle.net/20.500.11937/44677
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author Cirik, A.
Rong, Yue
Ma, Y.
Hua, Y.
author_facet Cirik, A.
Rong, Yue
Ma, Y.
Hua, Y.
author_sort Cirik, A.
building Curtin Institutional Repository
collection Online Access
description In this paper, we establish the signal-to-interference-noise ratio (SINR) duality between multipleaccess (MAC) and broadcast (BC) multihop amplify-and-forward (AF) multiple-input multiple-output(MIMO) relay systems under an imperfect channel state model, which is a generalization of severalpreviously established MAC-BC duality results. We show that identical SINRs in the MAC and BCsystems can be achieved by two approaches. The first one is to use the Hermitian transposed MACrelay amplifying matrices at the relay nodes in the BC system, under the same total network transmission power constraint. The second one is to use the scaled and Hermitian transposed MAC relay amplifying matrices in the BC system, under the transmission power constraint at each node of the system, where the scaling factors are obtained by swapping the power constraints of the nodes in the MAC system. Moreover, we derive the MAC-BC mean-squared error (MSE) and capacity duality properties based on the SINR duality. Numerical results show the utility of the duality results established.
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spelling curtin-20.500.11937-446772022-10-12T03:14:54Z On MAC-BC Duality of Multihop MIMO Relay Channel with Imperfect Channel Knowledge Cirik, A. Rong, Yue Ma, Y. Hua, Y. multihop MIMO relay Amplify-and-forward duality In this paper, we establish the signal-to-interference-noise ratio (SINR) duality between multipleaccess (MAC) and broadcast (BC) multihop amplify-and-forward (AF) multiple-input multiple-output(MIMO) relay systems under an imperfect channel state model, which is a generalization of severalpreviously established MAC-BC duality results. We show that identical SINRs in the MAC and BCsystems can be achieved by two approaches. The first one is to use the Hermitian transposed MACrelay amplifying matrices at the relay nodes in the BC system, under the same total network transmission power constraint. The second one is to use the scaled and Hermitian transposed MAC relay amplifying matrices in the BC system, under the transmission power constraint at each node of the system, where the scaling factors are obtained by swapping the power constraints of the nodes in the MAC system. Moreover, we derive the MAC-BC mean-squared error (MSE) and capacity duality properties based on the SINR duality. Numerical results show the utility of the duality results established. 2014 Journal Article http://hdl.handle.net/20.500.11937/44677 10.1109/TWC.2014.2322056 http://purl.org/au-research/grants/arc/DP140102131 IEEE fulltext
spellingShingle multihop MIMO relay
Amplify-and-forward
duality
Cirik, A.
Rong, Yue
Ma, Y.
Hua, Y.
On MAC-BC Duality of Multihop MIMO Relay Channel with Imperfect Channel Knowledge
title On MAC-BC Duality of Multihop MIMO Relay Channel with Imperfect Channel Knowledge
title_full On MAC-BC Duality of Multihop MIMO Relay Channel with Imperfect Channel Knowledge
title_fullStr On MAC-BC Duality of Multihop MIMO Relay Channel with Imperfect Channel Knowledge
title_full_unstemmed On MAC-BC Duality of Multihop MIMO Relay Channel with Imperfect Channel Knowledge
title_short On MAC-BC Duality of Multihop MIMO Relay Channel with Imperfect Channel Knowledge
title_sort on mac-bc duality of multihop mimo relay channel with imperfect channel knowledge
topic multihop MIMO relay
Amplify-and-forward
duality
url http://purl.org/au-research/grants/arc/DP140102131
http://hdl.handle.net/20.500.11937/44677