大規(guī)模MIMO時分雙工系統(tǒng)的魯棒預編碼設計
doi: 10.11999/JEIT141073 cstr: 32379.14.JEIT141073
基金項目:
國家自然科學基金(61101092)和國家863計劃項目(2014AA01A704)資助課題
Robust Precoding in Massive MIMO Time Division Duplex Systems
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摘要: 對于采用大規(guī)模MIMO技術的時分雙工系統(tǒng)，天線互易誤差會破壞上下行信道互易特性，大幅降低預編碼算法下行傳輸性能。由于實際系統(tǒng)難以完全消除天線互易誤差，該文以最大化各用戶平均信泄噪比為目標，根據(jù)天線互易誤差的統(tǒng)計特性，設計了對該誤差具有魯棒性的線性預編碼算法。同時為了進一步降低用戶接收端的等效噪聲功率，該文還將該線性魯棒預編碼算法擴展為基于矢量擾動的非線性魯棒預編碼算法，并通過減格輔助技術降低其擾動矢量求解復雜度，使其更適用于大規(guī)模MIMO系統(tǒng)應用。計算機仿真結果表明在存在基站天線互易誤差條件下，該文所提出的線性與非線性魯棒性預編碼算法的性能均優(yōu)于傳統(tǒng)預編碼算法的性能。
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關鍵詞:
- 無線通信 /
- 大規(guī)模MIMO /
- 信道互易誤差 /
- 魯棒預編碼
Abstract: The downlink transmission performance of the massive MIMO Time Division Duplex (TDD) system is bottlenecked by the channel reciprocity errors called antenna reciprocity errors. Antenna reciprocity errors are hard to be calibrated completely in practical systems. In order to avoid the performance degradation of the downlink transmission, a linear robust precoding algorithm is proposed, which can maximize each users average Signal to Leakage and Noise Ratio (SLNR) by using the statistical characteristics of the antenna reciprocity errors. To further reduce the equivalent noise power of users, the linear robust precoding algorithm is improved into nonlinear robust precoding algorithm by vector perturbation. Lattice reduction aid is also used to reduce the complexity of the perturbation vector search, and make the nonlinear robust precoding algorithm be available for the massive MIMO. Simulation results show that the proposed linear and nonlinear robust precoding algorithms can achieve better performance than the traditional Zero Forcing (ZF) and SLNR precoding algorithms when antenna reciprocity errors exist.-
Key words:
- Wireless communication /
- Massive MIMO /
- Channel reciprocity errors /
- Robust precoding
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