Abstract
In multiuser Large MIMO communication systems, signal recovery is a relevant factor for ensuring a safe and reliable communication, especially when the users are intercorrelated. Solutions for interference minimization include analysis regarding source coding/decoding techniques, channel coding/decoding methods and multiuser detection algorithms. This paper illustrates the performance improvement brought by convex optimization technique in Large MIMO systems when the channel is affected by AWGN and Rice fading. The performance is evaluated for different sets of spreading sequences (Walsh-Hadamard and PN) and based on the simulation results several conclusions are highlighted and further improvement will be proposed for fading effects reduction and interference minimization.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Voicu, C., Berceanu, M., Halunga, S.V. (2018). Estimation Algorithm for Large MIMO System. In: Fratu, O., Militaru, N., Halunga, S. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 241. Springer, Cham. https://doi.org/10.1007/978-3-319-92213-3_15
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DOI: https://doi.org/10.1007/978-3-319-92213-3_15
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