一種加權(quán)均方誤差最小化的魯棒性干擾對齊算法
doi: 10.11999/JEIT150648 cstr: 32379.14.JEIT150648
基金項(xiàng)目:
國家863計(jì)劃項(xiàng)目(2015AA01A705)，中電五十四所發(fā)展基金(X1228156)
A Robust Interference Alignment Algorithm Based on Weighted Mean Square Error Minimization
Funds:
The National 863 Program of China (2015AA01A705), The Development Fundation of CETC 54 (X1228156)
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摘要: 線性干擾對齊的一個(gè)常見優(yōu)化目標(biāo)是總傳輸速率最大化，但因?yàn)楹退俾屎瘮?shù)的非凸特性而難以直接求解。加權(quán)均方誤差最小化算法借助均方誤差與和速率之間的等價(jià)關(guān)系解決了這一問題。這一方法需要獲得準(zhǔn)確的信道狀態(tài)信息，在實(shí)際應(yīng)用中，通道估計(jì)誤差的存在會導(dǎo)致算法性能的下降。該文提出一種改進(jìn)算法，在干擾對齊預(yù)編碼矩陣與接收矩陣的優(yōu)化求解過程中將通道估計(jì)誤差的統(tǒng)計(jì)特性考慮在內(nèi)。仿真結(jié)果表明，相比以往的加權(quán)均方誤差最小化算法，該文算法對信道估計(jì)誤差具有較高的魯棒性，可以有效提高總的傳輸速率。
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關(guān)鍵詞:
- 干擾對齊 /
- MIMO /
- 預(yù)編碼 /
- 通道估計(jì)誤差
Abstract: Sum rate maximization is often used as the target of linear Interference Alignment (IA). However, the sum rate function is non-convex and hard to be solved. This problem is solved according to the relationship of mean square error and sum rate which is known as the Weighted Minimum Mean Square Error (WMMSE). This method relies on the knowledge of channel state information. In real systems, the channel estimation error may cause significant descent to the sum rate performance. This paper proposes an improved algorithm, which considers the statistical character of channel estimation error. Simulation results show that the proposed algorithm is robust to channel estimation error and improves the sum-rate efficiently, compared with the usual WMMSE method.-
Key words:
- Interference Alignment (IA) /
- MIMO /
- Pre-coding /
- Channel estimation error
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