Relevant bibliographies by topics / Fixed –Complexity Sphere Decoder (FSD)

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Fixed –Complexity Sphere Decoder (FSD)'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Fixed –Complexity Sphere Decoder (FSD)"

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Wang, Mengdi, Kai Yang, and Yixiao Luo. "Long prediction horizon model predictive control for pmsm based on fixed-complexity sphere decoder." Journal of Physics: Conference Series 3033, no. 1 (2025): 012009. https://doi.org/10.1088/1742-6596/3033/1/012009.

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Abstract Long prediction horizon model predictive control (MPC) enhances control system performance. However, its computational complexity grows exponentially with the prediction horizon, which affects real-time performance. To solve this problem, an optimization method based on the fixed-complexity sphere decoder (FSD) is proposed in this paper. FSD adopts a fixed exploration path and hierarchical optimization strategy to reduce the computation load while ensuring system performance near the optimal level. This paper presents a control strategy for permanent magnet synchronous motors (PMSM) b
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Gimmler-Dumont, Christina, Frank Kienle, Bin Wu, and Guido Masera. "A System View on Iterative MIMO Detection: Dynamic Sphere Detection versus Fixed Effort List Detection." VLSI Design 2012 (April 22, 2012): 1–14. http://dx.doi.org/10.1155/2012/826350.

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Multiple-antenna systems are a promising approach to increase the data rate of wireless communication systems. One efficient possibility is spatial multiplexing of the transmitted symbols over several antennas. Many different MIMO detector algorithms exist for this spatial multiplexing. The major difference between different MIMO detectors is the resulting communications performance and implementation complexity, respectively. Particularly closed-loop MIMO systems have attained a lot of attention in the last years. In a closed-loop system, reliability information is fed back from the channel d
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Mao, Xin Yu, Shu Bo Ren, and Hai Ge Xiang. "Reduced Complexity FSD Algorithm for MIMO Detection." Applied Mechanics and Materials 195-196 (August 2012): 259–64. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.259.

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Detection is a major challenge for the utilization of multiple-input multiple-output (MIMO) system. Even the fixed sphere decoding (FSD), which is known for its simplicity in calculation, requests too much computation in high order modulation and large number antenna system especially for mobile battery-operated devices. In this paper, a reduced FSD algorithm is proposed to simplify the calculation complexity of the FSD while maintaining the performance at the same time. Simulation results in a 4×4, 16-QAM system show that up to 89% calculation can be saved while the performance drop is less t
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Lai, Kuei-Chiang, Cheng-Chieh Huang, and Jiun-Jie Jia. "Variation of the Fixed-Complexity Sphere Decoder." IEEE Communications Letters 15, no. 9 (2011): 1001–3. http://dx.doi.org/10.1109/lcomm.2011.072011.110916.

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Jalden, J., L. G. Barbero, B. Ottersten, and J. S. Thompson. "The Error Probability of the Fixed-Complexity Sphere Decoder." IEEE Transactions on Signal Processing 57, no. 7 (2009): 2711–20. http://dx.doi.org/10.1109/tsp.2009.2017574.

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Wu, Bin, and Guido Masera. "Analysis on parallel implementations of fixed-complexity sphere decoder." Science China Information Sciences 56, no. 4 (2012): 1–11. http://dx.doi.org/10.1007/s11432-011-4441-2.

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LEI, Sheng, Xin ZHANG, Cong XIONG, and Dacheng YANG. "An Efficient Statistical Pruning Algorithm for Fixed-Complexity Sphere Decoder." IEICE Transactions on Communications E94-B, no. 3 (2011): 834–37. http://dx.doi.org/10.1587/transcom.e94.b.834.

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Xiong, Cong, Xin Zhang, Kai Wu, and Dacheng Yang. "A simplified fixed-complexity sphere decoder for V-BLAST systems." IEEE Communications Letters 13, no. 8 (2009): 582–84. http://dx.doi.org/10.1109/lcomm.2009.091039.

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Roger, Sandra, Alberto Gonzalez, Vicenc Almenar, and Gerald Matz. "An Efficient Fixed-Complexity Sphere Decoder with Quantized Soft Outputs." IEEE Communications Letters 16, no. 11 (2012): 1828–31. http://dx.doi.org/10.1109/lcomm.2012.091712.121702.

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Shen, Hong, and Chun-ming Zhao. "Efficient Iterative Detection Based on the Soft Fixed-complexity Sphere Decoder." Journal of Electronics & Information Technology 34, no. 7 (2013): 1659–64. http://dx.doi.org/10.3724/sp.j.1146.2011.00931.

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Dissertations / Theses on the topic "Fixed –Complexity Sphere Decoder (FSD)"

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Barbero, Liñan Luis G. "Rapid prototyping of a fixed-complexity sphere decoder and its application to iterative decoding of turbo-MIMO systems." Thesis, University of Edinburgh, 2007. http://hdl.handle.net/1842/11903.

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This thesis concentrates on the analysis of the sphere decoder (SD) for MIMO detection. It provides optimal maximum likelihood (ML) performance with reduced complexity compared to the maximum likelihood detector (MLD). However, a field-programmable gate array (FPGA) implementation of the algorithm presents several disadvantages due to its variable complexity and the sequential nature of its tree search. This research proposes a fixed-complexity sphere decoder (FSD) to overcome the drawbacks of the SD. It provides a fixed complexity and achieves quasi-maximum likelihood (ML) performance, combin
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Cheng-ChiehHuang and 黃政傑. "Low-Complexity MIMO Detector Based on the Fixed-Complexity Sphere Decoder." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/56496529955246061661.

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Conference papers on the topic "Fixed –Complexity Sphere Decoder (FSD)"

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Ding, Yuehua, Yide Wang, and Jean-Franscois Diouris. "Robust Fixed Complexity Sphere Decoder." In GLOBECOM 2010 - 2010 IEEE Global Communications Conference. IEEE, 2010. http://dx.doi.org/10.1109/glocom.2010.5684114.

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Dai, X. G., S. W. Cheung, and T. I. Yuk. "Simplified ordering for fixed-complexity sphere decoder." In the 6th International Wireless Communications and Mobile Computing Conference. ACM Press, 2010. http://dx.doi.org/10.1145/1815396.1815581.

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Wu, Yun, and John McAllister. "Energy-Efficient Adaptive Modulated Fixed-Complexity Sphere Decoder." In 2021 IEEE Workshop on Signal Processing Systems (SiPS). IEEE, 2021. http://dx.doi.org/10.1109/sips52927.2021.00023.

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Wu, Bin, and Guido Masera. "A Novel VLSI Architecture of Fixed-Complexity Sphere Decoder." In 2010 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools (DSD). IEEE, 2010. http://dx.doi.org/10.1109/dsd.2010.10.

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Mohaisen, Manar, and KyungHi Chang. "On Improving the Efficiency of the Fixed-Complexity Sphere Decoder." In 2009 IEEE Vehicular Technology Conference (VTC 2009-Fall). IEEE, 2009. http://dx.doi.org/10.1109/vetecf.2009.5378999.

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Lei, Sheng, Cong Xiong, Xin Zhang, and Dacheng Yang. "Adaptive Control of Surviving Branches for Fixed-Complexity Sphere Decoder." In 2010 IEEE 71st Vehicular Technology Conference. IEEE, 2010. http://dx.doi.org/10.1109/vetecs.2010.5493736.

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Barbero, Luis G., T. Ratnarajah, and Colin Cowan. "A Low-Complexity Soft-MIMO Detector Based on the Fixed-Complexity Sphere Decoder." In ICASSP 2008. IEEE International Conference on Acoustic, Speech and Signal Processes. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4518198.

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Lei, Sheng, Qingyun Tu, Dacheng Yang, and Jianya Chen. "Probabilistic tree pruning for fixed-complexity sphere decoder in MIMO systems." In Signal Processing (WCSP 2010). IEEE, 2010. http://dx.doi.org/10.1109/wcsp.2010.5633564.

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Barbero, Luis G., and John S. Thompson. "A Fixed-Complexity MIMO Detector Based on the Complex Sphere Decoder." In 2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications. IEEE, 2006. http://dx.doi.org/10.1109/spawc.2006.346388.

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Li, Guanghui, Xin Zhang, Sheng Lei, Cong Xiong, and Dacheng Yang. "An early termination-based improved algorithm for fixed-complexity sphere decoder." In 2012 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2012. http://dx.doi.org/10.1109/wcnc.2012.6214444.

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Journal articles
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