MMSE detection method in uplink massive MIMO systems based on quantum computing

The minimum mean square error (MMSE) detection method involved matrix inversion operation with excessive computational burden. In this paper, we develop an improved quantum linear system algorithm to solve matrix inversion problem of the MMSE detection method in uplink massive multiple-input and mul...

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Bibliographic Details
Published in:Physics letters. A Vol. 383; no. 12; pp. 1268 - 1273
Main Authors: Wang, XiaoJun, Zhao, Jie, Meng, FanXu, Yu, XuTao, Zhang, ZaiChen
Format: Journal Article
Language:English
Published: Elsevier B.V 10.04.2019
Subjects:
MMSE detection
Quantum computing
Quantum linear system algorithm
Uplink massive MIMO systems
Quantum computing
Quantum linear system algorithm
Uplink massive MIMO systems
MMSE detection
ISSN:0375-9601, 1873-2429
Online Access:Get full text
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Summary:The minimum mean square error (MMSE) detection method involved matrix inversion operation with excessive computational burden. In this paper, we develop an improved quantum linear system algorithm to solve matrix inversion problem of the MMSE detection method in uplink massive multiple-input and multiple-output (MIMO) systems. In order to apply reasonably the robust computational power of quantum computing, we optimize the preparation of the input state and the extraction of the solution from the final entangled quantum state. We prove that this algorithm can reduce computational complexity to O(Nlog⁡N). •This quantum algorithm reduced the complexity about the matrix inversion.•This paper combined massive MIMO systems with quantum computing.•Preparing a quantum state to substitute for a classical input state.•A readout approach is applied to obtain the solution from entangled quantum state.
ISSN:0375-9601
1873-2429
DOI:10.1016/j.physleta.2019.01.040