Block diagonalization for multi-user MIMO with other-cell interference

Shim, Sang‐Chul; Kwak, Jin Sam; Heath, Robert W.; Andrews, Jeffrey G.

doi:10.1109/twc.2008.070093

Cited by 196 publications

(106 citation statements)

References 32 publications

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“…From above, it can be seen that one of the main issues with cBD is that it does nothing to reduce the effects of the ICI each user is receiving. This issue has been considered in [5], where the authors proposed the eBD algorithm to account for the ICI presence. The eBD algorithm is summarized as follows.…”

Section: Block Diagonalization Approachmentioning

confidence: 99%

“…However, in multicell networks, cBD would ignore the inter-cell interference (ICI), which would affect the users' performance. For that purpose, the authors in [5] have proposed enhanced BD (eBD), which uses a whitening filter to reduce ICI effects. Nevertheless, both cBD and eBD algorithms have high dimensionality restrictions, since they both rely on transmit beamforming to eliminate intra-cell interference and ignore the receive beamforming.…”

Section: Introductionmentioning

confidence: 99%

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Decentralized Linear Transceiver Design in Multicell MIMO Broadcast Channels

Ardah¹,

Silva²,

Cavalcanti³

2017

JCIS

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Abstract-This paper studies linear transceiver design in multicell MIMO Broadcast Channels (BCs). In this context, previous works have tried to enhance the conventional Block Diagonalization (cBD) algorithm, such as the proposal of iterative BD (iBD), which has less dimensionality restrictions and accounts for the presence of inter-cell interference (ICI). However, both approaches become interference-limited when the ICI has strong power. In this paper, we take a different direction by using the Weighted Sum-Rate (WSR) as the transceiver design criterion. For that, three different novel algorithms are proposed in this paper, which are based on the alternating optimization technique and guaranteed to converge to a local WSR-optimum. The first algorithm is an interference pricing approach, where each cell maximizes its own utility, which is formed by the local users' WSR minus the priced ICI leakage. The second algorithm designs transceivers that maximize the network-wide WSR. Interestingly, we prove that the WSR maximization via interference pricing can be made equivalent to the network-wide WSR maximization, whenever the mobile stations are equipped with single-antennas. The third algorithm is an implicit interference pricing approach, where each cell self-prices its ICI leakage and, thus, does not require the feedback of variables from other cells. To facilitate the algorithms' implementation, a novel Over-the-Air (OTA) signaling scheme based on Time Division Duplex (TDD) mode is proposed, which reduces the signaling overhead and requires no backhaul feedback, as compared to existing schemes.Index Terms-MIMO systems, block diagonalization, weighted sum rate maximization, interference-pricing.

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Section: Block Diagonalization Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Decentralized Linear Transceiver Design in Multicell MIMO Broadcast Channels

Ardah¹,

Silva²,

Cavalcanti³

2017

JCIS

View full text Add to dashboard Cite

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“…Attention has been focused on improving the performance of BD under realistic scenarios. In [7], an improved BD algorithm that accounts for the presence of other cell interferences is proposed under the assumption that the transmitter has full CSI and the information about the interference plus noise covariance matrix for in-cell users. Researchers have also considered an impact of an antenna array configuration and mutual coupling on the sum capacity promised by BD.…”

Section: Introductionmentioning

confidence: 99%

Performance of Block Diagonalization Scheme for Downlink Multiuser MIMO System with Estimated Channel State Information

Wang¹,

Bialkowski

2011

IJCNS

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In this paper, we study the performance of block diagonalization (BD) scheme for a downlink multiuser multi-input multi-output (MIMO) system with imperfect channel state information (CSI). At each mobile user, information about the channel is obtained by applying the minimum mean-square-error (MMSE) channel estimation method. The channel state information is fed back to the base station through error-free uplink channels. A theoretical analysis is performed showing that channel estimation errors contribute to co-channel interferences thus deteriorating sum rate capacity. Computer simulations are performed to evaluate the impact of channel estimation errors on the sum rate capacity. The results show that if the MSE of the channel estimation is not less than 10 -2 , the impact of channel estimation errors is significant and cannot be neglected. To combat this adverse effect, a proper transmit power level is required for the training signals.

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“…The effect of outdated CSI at transmitter on multiuser MIMO system with BD was reported. In [8], a BD algorithm that accounts for the presence of othercell interferences was proposed under the assumption that the transmitter has full CSI and the information about the interference plus noise covariance matrix for in-cell users. Most of the research on BD for multiuser MIMO systems was done by neglecting interactions within the transmitting and receiving array antennas and between the array antennas and scatterers.…”

Section: Introductionmentioning

confidence: 99%

Performance of Block Diagonalization Broadcasting Scheme for Multiuser MIMO System Operating in Presence of Spatial Correlation and Mutual Coupling

Wang¹,

Bialkowski²,

Liu³

2010

IJCNS

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In this paper, the capacity of a multiuser Multiple Input Multiple Output (MIMO) system employing the block diagonalization broadcasting scheme in presence of spatial correlation and mutual coupling is investigated. It is shown by computer simulations that, in general, the presence of spatial correlation decreases the capacity of a multiuser MIMO system. However, for some particular antenna element spacing mutual coupling decreases the spatial correlation rendering an increased capacity. The optimized diagonalization broadcasting technique with a two-stage power allocation scheme is proposed and verified. The presented simulations results confirm the advantage of the proposed broadcasting scheme.

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Block diagonalization for multi-user MIMO with other-cell interference

Cited by 196 publications

References 32 publications

Decentralized Linear Transceiver Design in Multicell MIMO Broadcast Channels

Decentralized Linear Transceiver Design in Multicell MIMO Broadcast Channels

Performance of Block Diagonalization Scheme for Downlink Multiuser MIMO System with Estimated Channel State Information

Performance of Block Diagonalization Broadcasting Scheme for Multiuser MIMO System Operating in Presence of Spatial Correlation and Mutual Coupling

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