Low-complexity near-optimal signal detection for uplink large-scale MIMO systems
By: Researcher II
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| Authors | Xinyu Gao, Linglong Dai, Yongkui Ma, Zhaocheng Wang |
| Journal/Conference Name | ArXiv |
| Paper Category | Electronic Engineering |
| Paper Abstract | Minimum mean square error (MMSE) signal detection algorith m is nearoptimal for uplink multi-user large-scale multiple input m ultiple output (MIMO) systems, but involves matrix inversion with high com plexity. In this letter, we firstly prove that the MMSE filtering matrix for largescale MIMO is symmetric positive definite, based on which we p ropose a low-complexity near-optimal signal detection algorithm by exploiting the Richardson method to avoid the matrix inversion. The com plexity can be reduced fromO(K) to O(K), whereK is the number of users. We also provide the convergence proof of the proposed algorithm. Simulation results show that the proposed signal detection algorithm converges fast, and achieves the near-optimal performance of th classical MMSE algorithm. |
| Date of publication | 2014 |
| Code Programming Language | MATLAB |
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Copyright Researcher II 2021