2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDSPCOM-6.6
Paper Title DIVIDE AND CONQUER: ONE-BIT MIMO-OFDM DETECTION BY INEXACT EXPECTATION MAXIMIZATION
Authors Mingjie Shao, Wing-Kin Ma, The Chinese University of Hong Kong, China
SessionSPCOM-6: System Design and Optimization
LocationGather.Town
Session Time:Friday, 11 June, 11:30 - 12:15
Presentation Time:Friday, 11 June, 11:30 - 12:15
Presentation Poster
Topic Signal Processing for Communications and Networking: [SPC-MIMO] Multiple-Input Multiple-Output
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Massive multiple-input multiple-output (MIMO) systems with one-bit analogy-to-digital convertors (ADCs) have great potential in reducing the hardware cost and power consumption. However, distortions caused by coarse quantization raise challenges in symbol detection. In MIMO orthogonal frequency-division modulation (OFDM), coarse quantization renders the orthogonal separation among subcarriers inapplicable, forcing us to deal with a problem that has a very large problem size. In this paper we study the expectation-maximization (EM) approach for one-bit MIMO-OFDM detection. The idea is to iteratively decouple the MIMO-OFDM detection problem among subcarriers. Using the perspective of block coordinate descent (BCD), we describe some inexact variants of the classical EM method for providing more flexible and computationally efficient designs. Simulation results are provided to illustrate the potential of the divide-and-conquer strategy enabled by EM.