大規(guī)模MIMO系統(tǒng)中基于溢出概率的魯棒協(xié)作波束設計
doi: 10.11999/JEIT140817
基金項目:
國家863計劃項目(2014AA01A707)資助課題
Robust Coordinated Beamforming Design Based on Outage Probability for Massive MIMO
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摘要: 大規(guī)模多輸入多輸出(Massive MIMO)技術通過在基站端配置大規(guī)模天線能有效提升5G蜂窩系統(tǒng)容量?？紤]信道估計誤差對系統(tǒng)性能的影響，該文在多小區(qū)大規(guī)模MIMO系統(tǒng)中形成了用戶信干噪比的非溢出概率約束下最小化系統(tǒng)功率的優(yōu)化問題。針對非凸概率約束中下行波束難于求解的問題，該文根據(jù)矩陣跡的性質(zhì)將優(yōu)化問題中的非凸約束縮放，進而提出上下行對偶算法求解波束矢量。為進一步減少多小區(qū)系統(tǒng)中信令開銷，基于大系統(tǒng)分析，提出了僅采用大尺度信息的分布式算法。仿真結(jié)果表明，所提的分布式算法與對偶算法相比，在保證用戶信干噪比的概率約束時，降低了大規(guī)模MIMO系統(tǒng)中傳輸瞬時信道狀態(tài)信息的開銷，同時具有良好的魯棒性。
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關鍵詞:
- 無線通信 /
- 大規(guī)模多輸入多輸出 /
- 魯棒波束 /
- 上下行對偶 /
- 大系統(tǒng)分析
Abstract: Massive MIMO technique can effectively increase system capacity in the fifth Generation (5G) cellular network, where Base Station (BS) is equipped with a very large number of antennas. Considering the impact of channel estimation error on performance, the transmission power minimization problem is formulated subject to the non-outage probability constraints of each users signal to interference plus noise ratio. In respect that the non-convex probability constraints make the downlink beamforming difficult to solve, Uplink-Downlink Duality Algorithm (UDDA) is proposed to design Coordinated BeamForming (CBF) by using the property of trace of the matrix to scale the non-convex probability constraint. To reduce the signaling overhead in Massive MIMO system, a Distributed Algorithm based on Large System Analysis (DALSA) is proposed, which only needs the large-scale channel information. The simulation results show that DALSA, in the targeted SINR constraint, not only reduces instantaneous channel state information transmission overhead in Massive MIMO system, but also performs well in robustness compared with UDDA. -
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