Uplink Overloaded MU-MIMO OFDM Signal Detection Methods using Convex Optimization

This paper proposes a low latency and low complexity signal detection method for overloaded MU-MIMO OFDM (Multi-User Multi-Input Multi-Output) signals using a convex optimization approach for uplink IoT (Internet of Things) environments, in which there are a large number of IoT terminals and a base...

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Bibliographic Details
Published in2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) pp. 1421 - 1427
Main Authors Hayashi, Kazunori, Nakai, Ayano, Hayakawa, Ryo, Ha, Sangseok
Format Conference Proceeding
LanguageEnglish
Published APSIPA organization 01.11.2018
Subjects
Base stations
Frequency-domain analysis
MIMO communication
OFDM
Optimization
Precoding
Signal detection
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Summary:This paper proposes a low latency and low complexity signal detection method for overloaded MU-MIMO OFDM (Multi-User Multi-Input Multi-Output) signals using a convex optimization approach for uplink IoT (Internet of Things) environments, in which there are a large number of IoT terminals and a base station having smaller number of antennas than that of the terminals. Simulation results demonstrate the validity of the proposed signal detection method.
ISSN:2640-0103
DOI:10.23919/APSIPA.2018.8659753