Low Complexity, Pairwise Layered Tabu Search for Large Scale MIMO Detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-022-10015-6.pdf
Reference27 articles.
1. Albreem, M. A., Juntti, M., & Shahabuddin, S. (2019). Massive MIMO detection techniques: A survey. IEEE Communications Surveys and Tutorials, 21(4), 3109–3132. https://doi.org/10.1109/COMST.2019.2935810.
2. Azzam, L., & Ayanoglu, E. (2007). Reduced complexity sphere decoding for square QAM via a new lattice representation. In GLOBECOM—IEEE global telecommunications conference (pp. 4242–4246).
3. Barbero, L. G., & Thompson, J. S. (2008). Fixing the complexity of the sphere decoder for MIMO detection. IEEE Transactions on Wireless Communications, 7(6), 2131–2142.
4. Burg, A., Borgmann, M., Wenk, M., Zellweger, M., Fichtner, W., & Bölcskei, H. (2005). VLSI Implementation of MIMO detection using the sphere decoding algorithm. IEEE Journal of Solid-State Circuits, 40(7), 1566–1576.
5. Chakraborty, S., Sinha, N. B., & Mitra, M. (2021). Iteration optimized layered tabu search for large scale MIMO detection. In 2021 10th international conference on internet of everything, microwave engineering, communication and networks (IEMECON) (pp. 1–5). https://doi.org/10.1109/IEMECON53809.2021.9689202.
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1. Performance analysis and comparison of approximate detectors with linear detectors in massive MIMO systems under imperfect channel state information;Transactions on Emerging Telecommunications Technologies;2023-07-06
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