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  • Rodriguez Sanchez, Jesus, et al. (author)
  • Decentralized Massive MIMO Processing Exploring Daisy-Chain Architecture and Recursive Algorithms
  • 2020
  • In: IEEE Transactions on Signal Processing. - 1053-587X. ; 68, s. 687-700
  • Journal article (peer-reviewed)abstract
    • Algorithms for Massive MIMO uplink detection and downlink precoding typically rely on a centralized approach, by which baseband data from all antenna modules are routed to a central node in order to be processed. In the case of Massive MIMO, where hundreds or thousands of antennas are expected in the base-station, said routing becomes a bottleneck since interconnection throughput is limited. This paper presents a fully decentralized architecture and an algorithm for Massive MIMO uplink detection and downlink precoding based on the Coordinate Descent (CD) method, which does not require a central node for these tasks. Through a recursive approach and very low complexity operations, the proposed algorithm provides a good trade-off between performance, interconnection throughput and latency. Further, our proposed solution achieves significantly lower interconnection data-rate than other architectures, enabling future scalability.
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Type of publication
journal article (1)
Type of content
peer-reviewed (1)
Author/Editor
Rusek, Fredrik (1)
Rodriguez Sanchez, J ... (1)
Liu, Liang (1)
Edfors, Ove (1)
Sarajlic, Muris (1)
University
Lund University (1)
Language
English (1)
Research subject (UKÄ/SCB)
Engineering and Technology (1)
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