考虑信道估计误差的实用译码器中断容量研究
On the Outage Capacity of a Practical Decoder Accounting for Channel Estimation Inaccuracies
摘要：
研究了在非理想信道估计条件下实现中断容量的最优译码器。首先，通过搜索到家庭的最近邻解码器，这可以很容易地实现在最实际的编码调制系统，我们推导出一个解码度量，最大限度地减少在所有信道估计错误的平均传输错误概率。接下来，我们专门我们的一般表达式，以获得相应的衰落MIMO信道的解码度量。根据我们以前的工作中引入的估计引起的中断（EIO）容量的概念，并假设没有信道状态信息（CSI）在发射机，我们表征最大可实现的信息速率，使用高斯码本，与建议的解码器。在不相关的瑞利衰落的情况下，这些可实现的速率进行比较的经典失配的最大似然（ML）解码器和EIO容量的最终限制所实现的速率。数值结果表明，推导出的度量提供了显着的增益所考虑的情况下，在可实现的信息速率和比特出错率（BER），在比特交织编码调制（BICM）的框架，而不引入任何额外的解码复杂度。
英文摘要：
The optimal decoder achieving the outage capacity under imperfect channel estimation is investigated. First, by searching into the family of nearest neighbor decoders, which can be easily implemented on most practical coded modulation systems, we derive a decoding metric that minimizes the average of the transmission error probability over all channel estimation errors. Next, we specialize our general expression to obtain the corresponding decoding metric for fading MIMO channels. According to the notion of estimation-induced outage (EIO) capacity introduced in our previous work and assuming no channel state information (CSI) at the transmitter, we characterize maximal achievable information rates, using Gaussian codebooks, associated to the proposed decoder. In the case of uncorrelated Rayleigh fading, these achievable rates are compared to the rates achieved by the classical mismatched maximum-likelihood (ML) decoder and the ultimate limits given by the EIO capacity. Numerical results show that the derived metric provides significant gains for the considered scenario, in terms of achievable information rates and bit error rate (BER), in a bit interleaved coded modulation (BICM) framework, without introducing any additional decoding complexity.
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