Reduced Complexity Detection for Ricean MIMO Channels Based on Condition Number Thresholding

Matthaiou, Michail; Laurenson, David; Wang, Cheng-Xiang

doi:10.1109/iwcmc.2008.171

Cited by 10 publications

(7 citation statements)

References 21 publications

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“…As already mentioned, unlike the approaches in [8,9] that utilize the condition number for the threshold design, in this paper the smallest singular value is adopted as the judgement criterion since the following discussion shows that it has a direct impact on the system's performance.…”

Section: Threshold Based Detection Schemementioning

confidence: 99%

“…Recently, by taking the instantaneous channel information into account, some threshold based detection approaches [8,9] have been proposed in order to maintain the detection performance with reduced complexity. However, from the hardware implementation point of view, they are not optimized in term of the hardware resource use due to the fact that they simply combine two completely different schemes, namely, zero forcing (ZF) and ML.…”

Section: Introductionmentioning

confidence: 99%

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FPGA implementation of an efficient high-throughput sphere decoder for MIMO systems based on the smallest singular value threshold

Thompson

2010

2010 NASA/ESA Conference on Adaptive Hardware and Systems

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In this paper, we present an efficient high-throughput threshold based sphere decoder (TSD) for multiple-input multiple-output (MIMO) systems. Depending on the instantaneous channel conditions, the proposed TSD compares the smallest singular value of the channel matrix with a predefined threshold on a frame-by-frame basis and switches between full expansion (FE) and partial expansion (PE) for the tree traversal to accelerate the detection procedure. The TSD has been implemented and validated on an FPGA platform and results indicate that the proposed decoder is very suitable for a highlyparallel and fully-pipelined hardware implementation. The proposed algorithm offers considerable throughput improvement over the original fixed-complexity sphere decoder (FSD) with only slightly increased resource use.

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Section: Threshold Based Detection Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

FPGA implementation of an efficient high-throughput sphere decoder for MIMO systems based on the smallest singular value threshold

Thompson

2010

2010 NASA/ESA Conference on Adaptive Hardware and Systems

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“…Several detection methods have been proposed to date to overcome this problem, however, one that could fit perfectly with MIMO characteristics has not been very well investigated. Most publications focus on saving power by using the Signal-to-Noise Ratio (SNR) [4], channel matrix condition number [5] or reducing the number of decoding iterations. These criteria are not enough to optimize the information on the entire MIMO setup.…”

Section: Introductionmentioning

confidence: 99%

Power Performance Analysis of the Iterative-MIMO Adaptive Switching Algorithm Detector on the FPGA Hardware

Tadza

Thompson

Laurenson

2015

2015 IEEE 81st Vehicular Technology Conference (VTC Spring)

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In this paper, a comprehensive power performance analysis of a novel Adaptive Switching Algorithm for an iterative-MIMO system is investigated with the prime goal of minimizing energy consumption in the receiver. The algorithm works by switching between a high performance detection method, the Fixed Sphere Decoding, and a much lower complexity algorithm, the Vertical-Bell Laboratories Layered Space-Time Zero Forcing technique, controlled by a threshold according to the mutual information calculated during each transmission. Results show significant improvements over current non-adaptive receivers, where energy savings of more than 60% can be obtained using on the latest Xilinx®Virtex-7 FPGA hardware.

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“…The received data are processed through the detector before being passed into the decoder. Most publications focus on saving power using the signal‐to‐noise ratio (SNR) [ Wu , ], channel matrix condition number [ Matthaiou et al , ], or reducing the number of turbo decoding iterations [ Zhang et al , ] for the receiver. Condition numbers of the channel matrix would only take into account the input and output matrix of the transmitter and the receiver.…”

Section: Introductionmentioning

confidence: 99%

Adaptive switching detection algorithm for iterative‐MIMO systems to enable power savings

2014

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Key Points:• Adaptivity achieves optimal error rate performance with minimal power • Receiver adapts to conditions according to the mutual information thresholds • DVFS technique reduces the circuit power demands of the adaptive algorithm Input Multiple Output (MIMO) detection systems, which is to achieve optimal error rate performance with minimal power consumption. This is realized by proposing a new algorithm design that comprises multiple thresholds within the detector that, in real time, specify the receiver behavior according to the current channel in both slow and fast fading conditions, giving it adaptivity. This adaptivity enables energy savings within the system since the receiver chooses whether to accept or to reject the transmission, according to the success rate of detecting thresholds. The thresholds are calculated using the mutual information of the instantaneous channel conditions between the transmitting and receiving antennas of iterative-MIMO systems. In addition, the power saving technique, Dynamic Voltage and Frequency Scaling, helps to reduce the circuit power demands of the adaptive algorithm. This adaptivity has the potential to save up to 30% of the total energy when it is implemented on Xilinx®Virtex-5 simulation hardware. Results indicate the benefits of having this "intelligence" in the adaptive algorithm due to the promising performance-complexity tradeoff parameters in both software and hardware codesign simulation.

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Reduced Complexity Detection for Ricean MIMO Channels Based on Condition Number Thresholding

Cited by 10 publications

References 21 publications

FPGA implementation of an efficient high-throughput sphere decoder for MIMO systems based on the smallest singular value threshold

FPGA implementation of an efficient high-throughput sphere decoder for MIMO systems based on the smallest singular value threshold

Power Performance Analysis of the Iterative-MIMO Adaptive Switching Algorithm Detector on the FPGA Hardware

Adaptive switching detection algorithm for iterative‐MIMO systems to enable power savings

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