Interference cancellation using antenna diversity for EDGE-enhanced data rates in GSM and TDMA/136

Bladsjo, D.; Furuskar, A.; Javerbring, S.; Larsson, Erik G.

doi:10.1109/vetecf.1999.797279

Cited by 26 publications

(13 citation statements)

References 11 publications

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“…Minimum mean square error (MMSE) receivers are applied at the user side [22], and the signalto-interference-plus-noise ratio (SINR) matrix of user u can be expressed as…”

Section: Downlink Transmissionmentioning

confidence: 99%

Design of double codebook based on 3D dual-polarized channel for multiuser MIMO system

Han

Jin

et al. 2014

EURASIP J. Adv. Signal Process.

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This paper proposes a precoding method based on double codebook for multiuser three-dimensional multiple-input multiple-output (3D MIMO) system deployed with dual-polarized antenna array. Considering the block diagonal feature of the transmit correlation matrix of 3D dual-polarized channel, we adopt the double codebook structure, where the precoding matrix is composed of an inner long-term matrix and an outer short-term matrix. Then, we introduce a set of 3D beams which possess good discrimination in horizontal and vertical domains to be the basic beam set and adopt a topology describing the 3D beam set to illustrate the angle information in an intuitive way. For the purpose of multiuser transmission, we also propose a corresponding limited channel information feedback scheme and a user scheduling criteria based on this double codebook structure. Simulation results demonstrate that the precoding method based on double codebook for the dual-polarized 3D MIMO system effectively improves system throughput compared with 2D transmission scheme.

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“…Minimum mean square error (MMSE) receivers are applied at the user side [22], and the signalto-interference-plus-noise ratio (SINR) matrix of user u can be expressed as…”

Section: Downlink Transmissionmentioning

confidence: 99%

Design of double codebook based on 3D dual-polarized channel for multiuser MIMO system

Han

Jin

et al. 2014

EURASIP J. Adv. Signal Process.

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“…Intercell interference coordination techniques (Gesbert et al, 2007) are studied to minimize the interference level while spatial interference cancellation filters are the focus of attention to cancel the interferers which will be 1 in most cases (near cell boundaries) and 2 in rare cases (near cell corners). Different spatial interference cancellation techniques involving equalization and subtractive cancellation (Bladsjö et al, 1999) (Debbah et al, 2000) have been proposed in the literature. Amongst them, MMSE linear detectors are being considered as likely candidates for 3GPP LTE (Dahlman et al, 2006).…”

Section: Interference Suppression For Future Wireless Systemsmentioning

confidence: 99%

Low Dimensional MIMO Systems with Finite Sized Constellation Inputs

Ghaffar¹,

Knopp²

2010

Radio Communications

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“…[3]- [5] suggested using the spatial correlation of the interfering signal or the noise covariance to compute the log likelihood for the branch metric in the Viterbi detector. This approach, although effective, is computationally tedious and adds considerable MLSE complexity which grows quadratically with the number of antennas.…”

Section: Introductionmentioning

confidence: 99%

Low Complexity Interference Rejection Combining for MLSE

Hsieh

Tan

Lopes

2011

2011 IEEE 73rd Vehicular Technology Conference (VTC Spring)

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Co-channelinterference and inter-symbol interference (ISI) are common problems encountered by modern wireless communication systems. To mitigate these challenges, diversity antennas with optimum combining can be used in conjunction with the maximum likelihood sequence estimator (MLSE) to achieve the optimum receiver in a time dispersive propagation environment. We derive a simple multi-antenna MLSE receiver structure that is optimum in diversity combining and equalization given the spatial correlation of the interference and noise. The Viterbi sequence estimation within the multiantenna receiver has the same complexity as a single-antenna receiver. Since the spatial covariance of the noise is taken into account in the ML sequence estimate, strong co-channel interference can be effectively suppressed. The receiver's robust interference rejection capability is validated in simulations of the GMSK-modulated GSM signal.

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Interference cancellation using antenna diversity for EDGE-enhanced data rates in GSM and TDMA/136

Cited by 26 publications

References 11 publications

Design of double codebook based on 3D dual-polarized channel for multiuser MIMO system

Design of double codebook based on 3D dual-polarized channel for multiuser MIMO system

Low Dimensional MIMO Systems with Finite Sized Constellation Inputs

Low Complexity Interference Rejection Combining for MLSE

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