A Scalable 256-Antenna Distributed MIMO Testbed with Real-Time Fully Digital Beamforming
Dumitra Iancu, Vilgot Snygg, Sijia Cheng, Lina Tinnerberg, Mikael Henriksson, Emil Bergman, Anders J Johansson, Baktash Behmanesh, Ove Edfors, Liang Liu

TL;DR
This paper introduces LuLIS, a scalable, real-time 256-antenna distributed MIMO testbed utilizing FPGA-based processing nodes, enabling flexible deployment and extensive experimental evaluation of massive MIMO systems.
Contribution
The work presents a practical, scalable 256-antenna distributed MIMO testbed with real-time processing, demonstrating flexible deployment options and initial uplink transmission results.
Findings
Successfully operated up to 256 RF chains with real-time processing.
Achieved initial uplink transmission from four UEs to 64, 128, and 256 antennas.
System scalability without hardware redesign or increased latency.
Abstract
Distributed massive MIMO (D-MIMO) is a promising technology for future generation wireless systems as it takes advantage of both an increased array aperture and a decentralized processing architecture and topology. In order to truly understand the possibilities and limitations of these approaches in real scenarios, practical realization of testbeds is an essential step in the technology advancement. This work presents the Lund University Large Intelligent Surface testbed -- LuLIS, that can operate up to 256 coherent radio frequency (RF) chains using 16 AMD Zynq UltraScale RFSoC ZCU216 evaluation boards acting as distributed processing nodes. Real-time processing is facilitated by acceleration and distribution of MIMO processing algorithms on the FPGA fabric of the boards. The system is easily scalable, as increasing the number of antennas is done in multiples of 16 by adding more…
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