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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Vydané v:	Physics letters. A Ročník 383; číslo 12; s. 1268 - 1273
Hlavní autori:	Wang, XiaoJun, Zhao, Jie, Meng, FanXu, Yu, XuTao, Zhang, ZaiChen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 10.04.2019
Predmet:	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
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Popis
Shrnutí:	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