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Large-scale fading coefficient estimation in wireless massive MIMO systems

A technology of large-scale fading and coefficients, applied in radio transmission systems, transmission systems, baseband systems, etc., can solve problems such as unguaranteed convergence and high computational complexity

Active Publication Date: 2016-07-06
MEDIATEK SINGAPORE PTE LTD SINGAPORE
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  • Abstract
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AI Technical Summary

Problems solved by technology

Expectation-Maximization (EM) method is a flexible alternative, but requires high computational complexity and cannot guarantee convergence (convergence)

Method used

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  • Large-scale fading coefficient estimation in wireless massive MIMO systems
  • Large-scale fading coefficient estimation in wireless massive MIMO systems
  • Large-scale fading coefficient estimation in wireless massive MIMO systems

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Embodiment Construction

[0030] Reference will now be made in detail to some embodiments of the invention, some examples of which are illustrated in the accompanying drawings.

[0031] mark(.) T , (.) H , (.) * Represent transpose, conjugate transpose and conjugate of closed item (enclosed item), vec(.) is an operator, which stacks the columns of closed matrix (enclosed matrix) ) to form a tall (tall) vector, while Diag(.) transforms a vector into a diagonal matrix (diagonal matrix) with the entries belonging to the vector as diagonal entries. E{.}, ||.||, and ||.|| F Respectively represent the expected value, the vector and the Frobenius norm of the closed term, and ⊙ mark the product operators of Kronecker and Hadamard respectively. I L ,1 L and 0 L The sub-table marks are (LxL) identity (identity) matrix, L-dimensional all 1 and all 0 column vectors, among them, 1 LxS and 0 LxS is the matrix counterpart of the latter two. Convergence almost everywhere is marked as and the Kroneckerd...

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Abstract

Efficient algorithms for estimating LSFCs with no aid of SSFCs by taking advantage of the channel hardening effect and large spatial samples available to a massive MIMO base station (BS) are proposed. The LSFC estimates are of low computational complexity and require relatively small training overhead. In the uplink direction, mobile stations (MSs) transmit orthogonal uplink pilots for the serving BS to estimate LSFCs. In the downlink direction, the BS transmits either pilot signal or data signal intended to the MSs that have already established time and frequency synchronization. The proposed uplink and downlink LSFC estimators are unbiased and asymptotically optimal as the number of BS antennas tends to infinity.

Description

[0001] Cross References to Related Applications [0002] This application was filed on November 14, 2013 pursuant to 35 U.S.C. §119 requirements, application number 61 / 904,076 titled "LSFC Estimation in Wireless Massive MIMO Systems (Large-Scale Fading Coefficient Estimation in Wireless Massive MIMO Systems)", US provisional application priority, above The subject matter of the application is hereby incorporated by reference. technical field [0003] The embodiments disclosed in the present invention are generally related to wireless network systems, and more specifically, to large-scale applications for wireless massive multi-user multiple-input multiple-output (Multi-UserMultiple-InputMultiple-Output, MU-MIMO) systems Fading coefficient (Large-ScaleFadingCoefficient, LSFC) estimation (estimation). Background technique [0004] In the cellular mobile communication network, each serving base station (BaseStation, BS) is configured with an M-antenna array (M-antennaarray), ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L27/32
CPCH04L25/022H04L25/0228H04B7/0452H04L25/0204H04L25/0242
Inventor 刘彦成陈科夆苏育德
Owner MEDIATEK SINGAPORE PTE LTD SINGAPORE
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