A Subspace-Based Optimization Strategy for Downlink Systems with Ill-Conditioned MIMO Channels

Yung-Yi WANG

doi:10.1587/transfun.E94.A.1706

A Subspace-Based Optimization Strategy for Downlink Systems with Ill-Conditioned MIMO Channels

Yung-Yi WANG

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We propose an innovative and practically attainable downlink multi-cell MIMO system with distributed transmit beamforming design. The proposed system is referred to as the MIMO-MAP system which is aimed to mitigate the rank deficiency problem of those MIMO wireless channels that can not support high-order multiplexing gains. In the MIMO-MAP system, each mobile station is allowed to receive several independent data streams from multiple access points at the same time and the same frequency. To do this, a set of noise-subspace-based receive beamformers are employed to suppress the interference among the data streams from different access points. On the other hand, if we consider each receive beamformer as part of its associated wireless channel, we virtually reduce the antenna array at each receive mobile station to a single antenna. With this arrangement, we may have the transmit signal dimension high enough to pre-cancel the inter-stream-interferences at each transmit access point. As a result, the MIMO-MAP channel can be decomposed into a large number of independent subchannels which significantly increase the channel capacity.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E94-A No.8 pp.1706-1714

Publication Date: 2011/08/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E94.A.1706

Type of Manuscript: PAPER

Category: Communication Theory and Signals

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Yung-Yi WANG, "A Subspace-Based Optimization Strategy for Downlink Systems with Ill-Conditioned MIMO Channels" in IEICE TRANSACTIONS on Fundamentals, vol. E94-A, no. 8, pp. 1706-1714, August 2011, doi: 10.1587/transfun.E94.A.1706.
Abstract: We propose an innovative and practically attainable downlink multi-cell MIMO system with distributed transmit beamforming design. The proposed system is referred to as the MIMO-MAP system which is aimed to mitigate the rank deficiency problem of those MIMO wireless channels that can not support high-order multiplexing gains. In the MIMO-MAP system, each mobile station is allowed to receive several independent data streams from multiple access points at the same time and the same frequency. To do this, a set of noise-subspace-based receive beamformers are employed to suppress the interference among the data streams from different access points. On the other hand, if we consider each receive beamformer as part of its associated wireless channel, we virtually reduce the antenna array at each receive mobile station to a single antenna. With this arrangement, we may have the transmit signal dimension high enough to pre-cancel the inter-stream-interferences at each transmit access point. As a result, the MIMO-MAP channel can be decomposed into a large number of independent subchannels which significantly increase the channel capacity.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E94.A.1706/_p

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@ARTICLE{e94-a_8_1706,
author={Yung-Yi WANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Subspace-Based Optimization Strategy for Downlink Systems with Ill-Conditioned MIMO Channels},
year={2011},
volume={E94-A},
number={8},
pages={1706-1714},
abstract={We propose an innovative and practically attainable downlink multi-cell MIMO system with distributed transmit beamforming design. The proposed system is referred to as the MIMO-MAP system which is aimed to mitigate the rank deficiency problem of those MIMO wireless channels that can not support high-order multiplexing gains. In the MIMO-MAP system, each mobile station is allowed to receive several independent data streams from multiple access points at the same time and the same frequency. To do this, a set of noise-subspace-based receive beamformers are employed to suppress the interference among the data streams from different access points. On the other hand, if we consider each receive beamformer as part of its associated wireless channel, we virtually reduce the antenna array at each receive mobile station to a single antenna. With this arrangement, we may have the transmit signal dimension high enough to pre-cancel the inter-stream-interferences at each transmit access point. As a result, the MIMO-MAP channel can be decomposed into a large number of independent subchannels which significantly increase the channel capacity.},
keywords={},
doi={10.1587/transfun.E94.A.1706},
ISSN={1745-1337},
month={August},}

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TY - JOUR
TI - A Subspace-Based Optimization Strategy for Downlink Systems with Ill-Conditioned MIMO Channels
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1706
EP - 1714
AU - Yung-Yi WANG
PY - 2011
DO - 10.1587/transfun.E94.A.1706
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E94-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2011
AB - We propose an innovative and practically attainable downlink multi-cell MIMO system with distributed transmit beamforming design. The proposed system is referred to as the MIMO-MAP system which is aimed to mitigate the rank deficiency problem of those MIMO wireless channels that can not support high-order multiplexing gains. In the MIMO-MAP system, each mobile station is allowed to receive several independent data streams from multiple access points at the same time and the same frequency. To do this, a set of noise-subspace-based receive beamformers are employed to suppress the interference among the data streams from different access points. On the other hand, if we consider each receive beamformer as part of its associated wireless channel, we virtually reduce the antenna array at each receive mobile station to a single antenna. With this arrangement, we may have the transmit signal dimension high enough to pre-cancel the inter-stream-interferences at each transmit access point. As a result, the MIMO-MAP channel can be decomposed into a large number of independent subchannels which significantly increase the channel capacity.
ER -