Enhanced Groupwise Detection with a New Receive Combiner for Spatial Multiplexing MIMO Systems

Moon, Sung‐Hyun; Jeong, Jeongsik; Lee, Heunchul; Lee, Inkyu

doi:10.1109/tcomm.2010.09.090135

Cited by 16 publications

(16 citation statements)

References 15 publications

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“…In [22], a GS method based on a capacity criterion was proposed that maximizes the achievable information rate of MIMO systems employing non-iterative group detection. The same authors presented in [31] a grouping scheme using a min-max subgroup SINR formulation.…”

Section: Group Selection Methodsmentioning

confidence: 99%

“…It can easily be shown that the resulting equalizer structure based on (22) and the conventional biased SC-MMSE FDE [10]- [12] have an identical LLR decision metric. Therefore, both schemes have equal performance in terms of BER.…”

Section: A Derivation Of Frequency Domain Filter Coefficientsmentioning

confidence: 99%

“…Recently, the authors of [22] proposed a groupwise filtering technique maximizing the SINR in each subgroup for noniterative joint detection of multi-antenna signals in flat-fading MIMO channels. Here, we extend the approach from [22] to iterative frequency domain soft interference cancellation equalization employing groupwise maximum-SINR filtering.…”

Section: Comparison With Other Criteriamentioning

confidence: 99%

“…Here, we extend the approach from [22] to iterative frequency domain soft interference cancellation equalization employing groupwise maximum-SINR filtering. Suppose again that design criterion 3.1 holds.…”

Section: Comparison With Other Criteriamentioning

confidence: 99%

“…al. [22] has recently shown that the GAD scheme [21] can be further improved when taking into account the noise statistics at the receiver. Particularly, they proposed a group separation strategy based on groupwise linear filtering maximizing the signal-to-interference-plus-noise ratio (SINR) in each subgroup.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Groupwise Frequency Domain Multiuser MMSE Turbo Equalization for Single Carrier Block Transmission Over Spatially Correlated Channels

Grossmann

Schneider

2011

IEEE J. Sel. Top. Signal Process.

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Abstract-This paper proposes a novel turbo equalization scheme based on groupwise soft interference cancelling minimum mean-squared error filtering (SC-MMSE) combined with maximum a posteriori signal detection for multiple access singlecarrier block transmission. For an efficient implementation of the equalizer, the linear groupwise SC-MMSE filter is directly derived in the frequency domain by introducing an additional design criterion in the optimization. Special focus is given on different heuristic methods for group selection based on meansquared error (MSE) and spatial channel correlation criteria. The first method dynamically forms groups incorporating a priori information at each turbo iteration, while the second and third methods provide a static grouping that is valid for all turbo iterations. Results of correlation chart analysis and bit error rate simulations demonstrate that the groupwise turbo frequency domain equalizer (FDE) achieves a large performance gain over the conventional SC-MMSE FDE in intersymbol interference multiple access channels with high spatial correlation among the multiple users' transmitted signals. Moreover, it is shown that the simple static correlation-based grouping scheme when applied to the proposed receiver achieves similar performance than the dynamic MSE-based scheme at a significantly reduced complexity. In addition, to assess the practicality of the novel algorithm in real scenarios, we show numerical results obtained by a series of simulations using channel-sounding field measurement data.

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Section: Group Selection Methodsmentioning

confidence: 99%

Section: A Derivation Of Frequency Domain Filter Coefficientsmentioning

confidence: 99%

Section: Comparison With Other Criteriamentioning

confidence: 99%

Section: Comparison With Other Criteriamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Groupwise Frequency Domain Multiuser MMSE Turbo Equalization for Single Carrier Block Transmission Over Spatially Correlated Channels

Grossmann

Schneider

2011

IEEE J. Sel. Top. Signal Process.

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Optimization for faster‐than‐Nyquist signaling based combining under multi‐path channel

Wang

2022

Int J Communication

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We propose a faster-than-Nyquist (FTN) signaling based combining scheme to increase the achievable rate for the single-input-single-output (SISO) system and the single-carrier system under the multi-path channel, where the combining scheme aims to combine the signals received at all symbol periods during the channel length for each transmitted symbol. An important feature of the FTN signaling based combining scheme is that the transmitter ceases the transmission for b symbol periods after transmitting each symbol. By proposing the optimization algorithm for finding the optimum b that maximizes the achievable (information) rate, we propose in this paper the optimal FTN signaling based combining scheme. We first establish the optimization problem and then present a theorem for proving the existence of the optimum b that maximizes the lower bound of the average achievable (information) rate. On the basis of this theorem, we present the steps of the proposed optimization algorithm. Numerical results are provided, and they confirm that the proposed optimization algorithm can find the optimum b.

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Space‐time coding with receive combiner bank for multiple‐input–multiple‐output system under multi‐user cochannel interference

Wang

2013

IET Communications

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Enhanced Groupwise Detection with a New Receive Combiner for Spatial Multiplexing MIMO Systems

Cited by 16 publications

References 15 publications

Groupwise Frequency Domain Multiuser MMSE Turbo Equalization for Single Carrier Block Transmission Over Spatially Correlated Channels

Groupwise Frequency Domain Multiuser MMSE Turbo Equalization for Single Carrier Block Transmission Over Spatially Correlated Channels

Optimization for faster‐than‐Nyquist signaling based combining under multi‐path channel

Space‐time coding with receive combiner bank for multiple‐input–multiple‐output system under multi‐user cochannel interference

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