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Cluster Computing

Erschienen in:

19.03.2018

Mutual information of massive MIMO systems on block Rayleigh-faded channels

verfasst von: Selvam Paranche Damodaran, Vishvaksenan Kuttathati Srinivasan

Erschienen in: Cluster Computing | Sonderheft 4/2019

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Abstract

This paper presents mutual information achieved by a Massive multi-input multi-output (Ma-MIMO) systems on a block Rayleigh-fading Channels. Mutual information represents the highest achievable spectral efficiency (SE) in Ma-MIMO systems. Fast fading causes the loss in SE which is amplified by using multiple transmit antennas. The channel model considered here is block Rayleigh-fading Channels which resembles the practical scenario of cellular communication. Kronecker model is considered for modeling the spatially correlated channels. Minimum mean square error with successive interference cancellation (MMSE-SIC) is implemented to detect the channel and estimate the SE in the Uplink and Downlink channels. The simulation result shows linear MMSE and MMSE-SIC detector’s achievable SE for the Ma-MIMO systems.

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Nächster Artikel Restructuring AMS to reduce synchronization overheads on android system

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Titel: Mutual information of massive MIMO systems on block Rayleigh-faded channels
verfasst von: Selvam Paranche Damodaran
Vishvaksenan Kuttathati Srinivasan
Publikationsdatum: 19.03.2018
Verlag: Springer US
Erschienen in: Cluster Computing / Ausgabe Sonderheft 4/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-018-2509-0

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