Journal
IEEE WIRELESS COMMUNICATIONS LETTERS
Volume 8, Issue 3, Pages 773-776Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2019.2892044
Keywords
Massive MIMO; decentralized processing; interference suppression; daisy chain
Categories
Funding
- Swedish Research Council (VR) [2016-05546]
- Excellence Center in Linkoping-Lund in Information Technology
- Vinnova [2016-05546] Funding Source: Vinnova
- Swedish Research Council [2016-05546] Funding Source: Swedish Research Council
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We analyze the downlink of a massive multiuser multiple input, multiple output (MIMO) system where antenna units at the base station are connected in a daisy chain without a central processing unit and only possess local channel knowledge. For this setup, we develop and analyze a linear precoding algorithm for suppressing interuser interference. It is demonstrated that the algorithm is close to zero-forcing precoding in terms of performance for a large number of antennas. Moreover, we show that with careful scheduling of processing across antennas, requirements for interconnection throughput are reduced compared with the fully centralized solution. Favorable tradeoff between performance and interconnection throughput makes the daisy chain a viable candidate topology for real-life implementations of base stations in MIMO systems where the number of antennas is very large.
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