Abstract
This paper investigates the adaptivity of the Fixed Sphere Decoder (FSD) algorithm, for iterative-multiple-input multiple-output (MIMO) detection in 4G LTE environment. The switching mechanism for the FSD depends on the calculated mutual information between the transmitters and receivers in real-time. The detector determines whether the receiver would detect the incoming symbols using a higher accuracy detector, a less performance detector or simply abandon further processing and reduce energy consumption by requesting a re-transmission. This paper provides the performance analysis for the proposed algorithm in realistic conditions by providing a detailed energy analysis of the algorithm for spatially correlated channel conditions. Analytical, simulation and implementation results show that the practical behavior of the proposed lterative-MIMO detector saves significant energy with a tolerable bit error rate performance degradation.
The research is in conjunction with University Tun Hussein Onn Malaysia, Johor, Malaysia.
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The author would like to send her deepest gratitude to University Tun Hussein Onn Malaysia for sponsoring the research.
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Tadza, N. (2018). Implementation of an Adaptive Design for the Iterative-MIMO Smart Sensor Detectors to Increase Energy Efficiency in Realistic Channel Conditions. In: Kim, K., Kim, H., Baek, N. (eds) IT Convergence and Security 2017. Lecture Notes in Electrical Engineering, vol 450. Springer, Singapore. https://doi.org/10.1007/978-981-10-6454-8_16
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DOI: https://doi.org/10.1007/978-981-10-6454-8_16
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