Joint throughput optimized CQI and precoding weight calculation for MIMO HSDPA

Mehlführer, Christian; Caban, Sebastian; Wrulich, Martin; Rupp, Markus

doi:10.1109/acssc.2008.5074632

Cited by 24 publications

(10 citation statements)

References 15 publications

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“…Instead we refer the interested reader to the references [17][18][19][20][21]. In short, the throughput is measured by transmitting and receiving the standard compliant signals.…”

Section: Measurement Resultsmentioning

confidence: 99%

On achieving the Shannon bound in cellular systems

Rupp

Mehlführer

Caban

2010

20th International Conference Radioelektronika 2010

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This contribution provides insight into the performance of the currently deployed 3G cellular systems HSDPA and WiMAX. In extensive measurement campaigns we measured the physical layer throughput of these 3G systems in different environments (alpine and urban) and compare the results rigorously to their upper bounds derived from the well known Shannon capacity. By separating the observed losses into a channel state information loss, a design loss, and an implementation loss, we gain more insight into the performance of the different standards which in turn allows us to compare them better and to localize their shortcomings. In general, we find that implementations of the current standards still operate about 10 dB away from the Shannon bound.

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“…Instead we refer the interested reader to the references [17][18][19][20][21]. In short, the throughput is measured by transmitting and receiving the standard compliant signals.…”

Section: Measurement Resultsmentioning

confidence: 99%

On achieving the Shannon bound in cellular systems

Rupp

Mehlführer

Caban

2010

20th International Conference Radioelektronika 2010

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“…The AS criterion utilizes the post-equalization SINR for every receive antenna subset and the one leading to the highest SINR is chosen. As the SINR is mapped to the physical layer throughput by means of a look-up table [34], maximizing the SINR also leads to throughput maximization.…”

Section: B Our Contributionmentioning

confidence: 99%

Throughput-Based Antenna Selection Measurements

García-Naya

Mehlführer

Caban

et al. 2009

2009 IEEE 70th Vehicular Technology Conference Fall

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In this work, we provide a new throughput-based antenna selection criterion that considers the entire system design rather than only the channel state information. The performance evaluation was carried out in a measurement campaign in a common outdoor urban scenario. We present our results in terms of physical layer throughput over transmit power. In addition to diversity gains, we also see gains due to the selection of differently polarized antennas. In terms of SNR, the results show a gain of several decibels depending on the number of antennas selected.

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“…The MMSE weights and the precoding coefficients were determined assuming perfect channel knowledge at the receiver. The precoding coefficients were chosen according to [11], [18], i.e.…”

Section: Fading Simulationsmentioning

confidence: 99%

Efficient Link-to-System Level Model for MIMO HSDPA

Wrulich

Eder

Viering

et al. 2008

2008 IEEE Globecom Workshops

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To assess the performance of future mobile network technologies, system level simulations are crucial. They serve to identify whether, and to which amount, predicted link level performance gains are obtained in an entire network. In this paper, we present a computationally efficient link-to-system level model for system-level evaluations of multiple-input multipleoutput (MIMO) high-speed downlink packet access (HSDPA), including double-stream transmit antenna array (D-TxAA) as a special case. The model is based on a fairly general structure which also allows for the mapping of more than two independent streams. We base the description on the post-equalization signalto-interference-and-noise ratio (SINR) and represent it in a socalled "fading-parameter" structure, which leads to a nice split of the individual interference terms -which can be used e.g. for receiver optimization. These fading-parameters furthermore allow for a generation prior to the system level simulation itself, which reduces the computational burden significantly.

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Joint throughput optimized CQI and precoding weight calculation for MIMO HSDPA

Cited by 24 publications

References 15 publications

On achieving the Shannon bound in cellular systems

On achieving the Shannon bound in cellular systems

Throughput-Based Antenna Selection Measurements

Efficient Link-to-System Level Model for MIMO HSDPA

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