Abstract
Iterative decoding is one of the promising methods to improve the performance of MIMO systems. In iterative processing channel decoder and MIMO detector share the information in order to enhance the overall system performance. However, iterative processing requires a lot of computations therefore it is considered as a computationally complex approach due to complex detection schemes involving iterative processing. There are several promising detection methods that require further improvements and they can be candidates in order to practically implement iterative processing. In this paper, the propose method to improve the efficiency of three loop-based minimum mean squared errors with soft interference cancellation (MMSE-SIC) method by reducing its complexity with a single inverse operation. Simulation results are given in order to provide detail analysis of the proposed MMSE-SIC based approach for iterative detection and decoding (IDD).
Highlights
To acquire a higher data rate, MIMO techniques are widely used in most current wireless communication systems
The channel coding or forward error correction (FEC) scheme is an important part of MIMO communication systems if one targets high QoS for mobile users
It is essential to exploit high-performance FEC methods to achieve the performance gains in MIMO based communication systems
Summary
To acquire a higher data rate, MIMO techniques are widely used in most current wireless communication systems. The sphere decoding and tree search-based methods have been very promising approaches for JIDD systems [4]-[6]. These approaches target to reduce the MAP search space by finding the likely candidates. A posteriori information is used to enhance the performance of the MMSE-SIC method and complexity is reduced by hard decision threshold (HDT) method. Still, there is a performance gap between MMSE-SIC and other existing methods like tree search-based methods. In [10] author employed a three-loop approach to further enhance the performance of the MMSE-SIC method. The proposed method is used to reduce the complexity of the three-loop method which involves repeated filtering matrix inversion for each transmitted layer.
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