A New Algorithm of Iterative MIMO Detection and Decoding Using Linear Detector and Enhanced Turbo Procedure in Iterative Loop

In the paper we develop and evaluate a novel low complexity algorithm of iterative detection and decoding in multiple input multiple output (MIMO) system. It is based on a new enhanced Turbo procedure. Although the algorithm utilizes well-known components such as linear minimum mean square error (MMSE) detector and channel decoder with soft bits feedback, the new original procedure of getting extrinsic data essentially allows improving the receiver performance and reducing its complexity. Moreover, it is shown that proposed Turbo approach works even without channel decoder in the iteration loop. Thus, we ob-tain pure iterative MMSE detector with improved performance. Utilization of combined scheme with MMSE detector and channel decoder feedback demonstrates really outstanding performance. It is confirmed with simulations that the performance of proposed architecture exceeds traditional ML MIMO detector schemes that are designed with channel decoder but without iterative loop

MMSE based K-best algorithm for efficient MIMO detection

MIMO detector is the key component of modems used in multi-carrier wireless devices for LTE-A and 5G networks. The complexity of the detector is usually higher than for most other parts of the system. Therefore, it is considered as the most critical modem part. Maximum Likelihood (ML) detector is known to give the optimal solution, but at the expense of exponential complexity. Thus, it is mostly used only as a reference algorithm but not as an implementable component. The main target of this MIMO detector study is to find an optimal tradeoff between performance and complexity. Analytical derivations defining a new efficient MIMO detection scheme named MMSE-K Best are presented in the paper. Proposed detector design demonstrates performance approaching ML while its complexity remains close to relatively simple linear detectors, such as Minimum Mean Square Error (MMSE). © 2017 IEEE

MMSE based K-best algorithm for efficient MIMO detection

MIMO detector is the key component of modems used in multi-carrier wireless devices for LTE-A and 5G networks. The complexity of the detector is usually higher than for most other parts of the system. Therefore, it is considered as the most critical modem part. Maximum Likelihood (ML) detector is known to give the optimal solution, but at the expense of exponential complexity. Thus, it is mostly used only as a reference algorithm but not as an implementable component. The main target of this MIMO detector study is to find an optimal tradeoff between performance and complexity. Analytical derivations defining a new efficient MIMO detection scheme named MMSE-K Best are presented in the paper. Proposed detector design demonstrates performance approaching ML while its complexity remains close to relatively simple linear detectors, such as Minimum Mean Square Error (MMSE). © 2017 IEEE