Decentralized Massive MIMO Processing Exploring Daisy-Chain Architecture and Recursive Algorithms
(2020) In IEEE Transactions on Signal Processing 68. p.687-700- 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... (More)
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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- author
- Rodriguez Sanchez, Jesus LU ; Rusek, Fredrik LU ; Edfors, Ove LU ; Sarajlic, Muris LU and Liu, Liang LU
- organization
- publishing date
- 2020
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- coordinate descent, decentralized architecture, detection, inter-connection data-rate, kaczmarz, Massive MIMO, precoding, SINR, zero-forcing
- in
- IEEE Transactions on Signal Processing
- volume
- 68
- article number
- 8960442
- pages
- 14 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85079760916
- ISSN
- 1053-587X
- DOI
- 10.1109/TSP.2020.2964496
- language
- English
- LU publication?
- yes
- id
- b181e07c-480c-4a20-b0c2-8d3bd26411d3
- date added to LUP
- 2020-03-18 14:10:02
- date last changed
- 2024-04-03 03:06:26
@article{b181e07c-480c-4a20-b0c2-8d3bd26411d3, abstract = {{<p>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.</p>}}, author = {{Rodriguez Sanchez, Jesus and Rusek, Fredrik and Edfors, Ove and Sarajlic, Muris and Liu, Liang}}, issn = {{1053-587X}}, keywords = {{coordinate descent; decentralized architecture; detection; inter-connection data-rate; kaczmarz; Massive MIMO; precoding; SINR; zero-forcing}}, language = {{eng}}, pages = {{687--700}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Signal Processing}}, title = {{Decentralized Massive MIMO Processing Exploring Daisy-Chain Architecture and Recursive Algorithms}}, url = {{http://dx.doi.org/10.1109/TSP.2020.2964496}}, doi = {{10.1109/TSP.2020.2964496}}, volume = {{68}}, year = {{2020}}, }