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On Implicit and Explicit Channel Estimation for Compress and Forward Relaying OFDM Schemes Designed by Information Bottleneck Graphs

机译:信息瓶颈图设计的压缩转发中继OFDM方案的隐式和显式信道估计

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Recently, Information Bottleneck Graphs (IBGs) have been introduced for quantizer design in general receivers. These IBGs allow implicit channel estimation during quantization, i.e. , received pilot and data symbols are processed jointly in a two dimensional quantizer. Hence, the uncertainty in the received pilots is considered in the the quantizer design which uses the Information Bottleneck (IB) method for optimization. Furthermore, by applying channel estimation explicitly before quantization, occurring errors due to noise can as well be considered statistically in an IBG. For practical investigation, simulations are carried out for a Bit Interleaved Coded Modulation (BICM) scheme with a range of discrete transmission rates, different quantizer rates and joint decoders. Implicit and explicit channel estimation will be compared in terms of total achievable rate of the system. Results reveal that the degradation due to channel estimation errors is much more severe than the additional mismatch error of non adapted quantizer design.
机译:最近,信息瓶颈图(IBG)已被引入到一般接收机的量化器设计中。这些IBG允许在量化期间进行隐式信道估计,即,在二维量化器中共同处理接收到的导频和数据符号。因此,在使用信息瓶颈(IB)方法进行优化的量化器设计中考虑了接收到的导频中的不确定性。此外,通过在量化之前明确地应用信道估计,也可以在IBG中从统计角度考虑由于噪声而出现的错误。为了进行实际研究,对具有一系列离散传输速率,不同量化速率和联合解码器的比特交织编码调制(BICM)方案进行了仿真。隐式和显式信道估计将根据系统的总可实现速率进行比较。结果表明,由信道估计误差引起的降级要比非自适应量化器设计的附加失配误差严重得多。

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