Reduced Complexity ML Interference-Aware Parallel and SIC Receivers for SU-MIMO Systems

Abstract

Although the base station processing and the majority of the protocols of the wireless systems are standardized by 3GPP, the receiver architecture and implementation remain vendor-dependent. The receiver design should fulfill computational efficiency requirements, and be evaluated in practical simulators or emulators that are compliant with real-world wireless standards. In this paper, we provide a comparative study of two low complexity Maximum-Likelihood receivers with the Parallel Interference-Aware (PIA) detection and with the Successive Interference Canceling (SIC) detection. Given 5MHz of LTE bandwidth, the SIC receiver achieves up to 4Mbit/s throughput gain in Rician fading and 1.8Mbit/s in Rayleigh fading compared to the PIA receiver. The quantification of computational effort demonstrates short signal processing time, which makes our receivers suitable for real-time modems. Our empirical simulations deliver insights on the optimal SNR regimes and the modulation and coding schemes combinations for both codewords to maintain high level of throughput. Keywords—Interference-Awareness, Maximum-Likelihood, Reduced Complexity, Successive Interference Canceling

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Cite this paper

@inproceedings{Lukashova2017ReducedCM, title={Reduced Complexity ML Interference-Aware Parallel and SIC Receivers for SU-MIMO Systems}, author={Elena Lukashova and Florian Kaltenberger and Raymond Knopp}, year={2017} }