Concrete MAP Detection: A Machine Learning Inspired Relaxation

Conference: WSA 2020 - 24th International ITG Workshop on Smart Antennas
02/18/2020 - 02/20/2020 at Hamburg, Germany

Proceedings: ITG-Fb. 291: WSA 2020

Pages: 5Language: englishTyp: PDF

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Beck, Edgar; Bockelmann, Carsten; Dekorsy, Armin (Department of Communications Engineering, University of Bremen, Bremen, Germany)

Motivated by large linear inverse problems where the complexity of the Maximum A-Posteriori (MAP) detector grows exponentially with system dimensions, e.g., large MIMO, we introduce a method to relax a discrete MAP problem into a continuous one. The relaxation is inspired by recent ML research and offers many favorable properties reflecting its quality. Hereby, we derive an iterative detection algorithm based on gradient descent optimization: Concrete MAP Detection (CMD). We show numerical results of application in large MIMO systems that demonstrate superior performance w.r.t. all considered State of the Art approaches.