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Analog and digital self-interference cancellation in full-duplex MIMO-OFDM transceivers with limited resolution in A/D conversion

机译:A / D转换分辨率有限的全双工MIMO-OFDM收发器中的模拟和数字自干扰消除

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We analyze the performance of full-duplex MIMO-OFDM transceivers with subtractive self-interference cancellation in analog and/or digital domain, i.e., before and/or after analog-to-digital converters (ADCs). In particular, the non-ideal ADCs are modeled by assuming uniform b-bit quantization which allows us to derive closed-form expressions for the signal to interference and noise ratio when including the effects of the residual self-interference due to imperfect cancellation and the clipping-plus-quantization noise due to the limited dynamic range of ADCs. Consequently, this facilitates a study on the fundamental trade-off between ADC resolution, maximum transmit power, minimum physical isolation and sufficient signal to self-interference ratio needed to avoid receiver saturation. We also highlight the benefit of combining analog and digital cancellation: if the former attenuates interference sufficiently well such that all received signals fit within the limited dynamic range of ADCs, the latter can handle the residual self-interference efficiently.
机译:我们在模拟和/或数字域(即在模数转换器(ADC)之前和/或之后)分析具有减法自干扰消除功能的全双工MIMO-OFDM收发器的性能。尤其是,通过假设统一的b位量化来对非理想ADC进行建模,当包括由于不完全消除和噪声引起的残余自干扰的影响时,我们可以得出信噪比和噪声比的闭式表达式。由于ADC的动态范围有限,因此产生了削波加量化噪声。因此,这有助于研究ADC分辨率,最大发射功率,最小物理隔离以及避免接收器饱和所需的足够的信噪比之间的基本权衡。我们还强调了将模拟和数字抵消相结合的好处:如果前者能够充分地衰减干扰,从而使所有接收到的信号都适合ADC的有限动态范围,那么后者就可以有效地处理残留的自干扰。

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