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PRECODER AND DECODER PREDICTION IN TIME-VARYING MIMO CHANNELS
"... In wireless communications, mobility can make the available channel information out of date. A timely update of the channel state information is an obvious solution to improve the system performance in a time-varying channel. However, this comes at the cost of a decrease in the system throughput sin ..."
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the performance of a prediction scheme for multiple input multiple output (MIMO) systems that apply spatial multiplexing. We aim at predicting the future precoder/decoder directly without going through the prediction of the channel matrix. The results show that in a slowly time-varying channel an increase
Time-Varying MIMO Channels: Measurement, Analysis, and Modeling
"... Abstract—The temporal variation in measured multiple-input multiple-output (MIMO) wireless channels with moving commu-nication nodes is analyzed. A wide-band 8 8 sounder is em-ployed to measure the response of indoor and outdoor channels at 2.55 and 5.2 GHz. The rate of channel temporal variation is ..."
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time-varying cluster model—to capture the channel temporal variation. Index Terms—Information theory, multiple-input multiple-output (MIMO) systems, time-varying channels. I.
Measurement of Time-Varying MIMO Channels and Performance Evaluation of Spatial Multiplexing
"... MIMO spatial multiplexing is a key technology to increase channel capacity. The performance depends on channels including antenna characteristics. In eigenbeam space division multiplexing (E-SDM), not only a receiver but also a transmitter needs channel state information (CSI). The performance of an ..."
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of an E-SDM system may degrade in time-varying environments because CSI at the transmitter is outdated. In this paper, we describe measurement of time-varying MIMO channels in an indoor environment. Using the measured data, we obtain channel auto-correlation and Doppler spectrum, and examine bit error
ZF-DFE Transceiver for Time-varying MIMO Channels with Channel-independent Temporal
"... Abstract — This paper considers the DFE transceiver optimization for time-varying memoryless MIMO channels under zeroforcing (ZF) constraint. For time-varying channels, the uncoded average BER of the conventional geometric mean decomposition (GMD) based systems is not minimized because of the divers ..."
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Abstract — This paper considers the DFE transceiver optimization for time-varying memoryless MIMO channels under zeroforcing (ZF) constraint. For time-varying channels, the uncoded average BER of the conventional geometric mean decomposition (GMD) based systems is not minimized because
Measurement of Time-Varying MIMO Channel for Performance Analysis of Closed-Loop Transmission
"... Abstract — A real-time multiple-input multiple-output (MIMO) channel measurement system was implemented by using a 4×4 MIMO software defined radio (SDR) testbed. A target application of this system is to evaluate realistic performance of closed-loop MIMO transmission in time-varying channels at 5GHz ..."
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Abstract — A real-time multiple-input multiple-output (MIMO) channel measurement system was implemented by using a 4×4 MIMO software defined radio (SDR) testbed. A target application of this system is to evaluate realistic performance of closed-loop MIMO transmission in time-varying channels at 5
SUBSPACE-BASED SPHERE DECODER FOR MC-CDMA IN TIME-VARYING MIMO CHANNELS
"... We focus on sphere decoding for the uplink of a multicarrier (MC) code division multiple access (CDMA) system based on orthogonal frequency division multiplexing (OFDM). The users move at vehicular speed, hence the multiple-input multiple-output (MIMO) channel from each user to the basestation is ti ..."
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is time-varying. The receiver at the base-station performs iterative multi-user (MU) detection using parallel interference cancelation followed by a sphere decoder. Such a MU-MIMO detector is less complex and more robust to channel estimation errors than a linear minimum mean square error (LMMSE) filter
A RECURSIVE QR APPROACH TO ADAPTIVE EQUALIZATION OF TIME-VARYING MIMO CHANNELS ∗
"... Abstract. This paper presents a novel adaptive equalization algorithm for time-varying MIMO systems with ISI channel conditions. The algorithm avoids channel estimation before equalization and leads to a direct QR-based procedure for updating the equalizer coefficients to track the time-varying chan ..."
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Abstract. This paper presents a novel adaptive equalization algorithm for time-varying MIMO systems with ISI channel conditions. The algorithm avoids channel estimation before equalization and leads to a direct QR-based procedure for updating the equalizer coefficients to track the time-varying
LINEAR PRECODING FOR TIME-VARYING MIMO CHANNELS WITH LOW-COMPLEXITY RECEIVERS
"... This paper considers linear precoding for time-varying multiple-input multiple-output (MIMO) channels. We show that linear min-imum mean-squared error (LMMSE) equalization based on the conjugate gradient (CG) method can result in significantly reduced complexity compared with conventional approaches ..."
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This paper considers linear precoding for time-varying multiple-input multiple-output (MIMO) channels. We show that linear min-imum mean-squared error (LMMSE) equalization based on the conjugate gradient (CG) method can result in significantly reduced complexity compared with conventional
PATH-BASED SPECTRAL CLUSTERING FOR DECODING FAST TIME-VARYING MIMO CHANNELS
"... ABSTRACT In this paper, we present a clustering technique for decoding fast time-varying multiple-input multiple-output (MIMO) channels. The proposed method builds upon previous work that exploited the symmetry of the constellation and the order of the data within a spectral clustering procedure. T ..."
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ABSTRACT In this paper, we present a clustering technique for decoding fast time-varying multiple-input multiple-output (MIMO) channels. The proposed method builds upon previous work that exploited the symmetry of the constellation and the order of the data within a spectral clustering procedure
PATH-BASED SPECTRAL CLUSTERING FOR DECODING FAST TIME-VARYING MIMO CHANNELS
"... In this paper, we present a clustering technique for decoding fast time-varying multiple-input multiple-output (MIMO) channels. The proposed method builds upon previous work that exploited the symmetry of the constellation and the order of the data within a spectral clustering procedure. The novelty ..."
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In this paper, we present a clustering technique for decoding fast time-varying multiple-input multiple-output (MIMO) channels. The proposed method builds upon previous work that exploited the symmetry of the constellation and the order of the data within a spectral clustering procedure
Results 1 - 10
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9,524