Implementation of Low-latency Signal Processing and Data Shuffling for TDD massive MIMO Systems

Research output: Contribution to conferencePaper, not in proceeding


Low latency signal processing and high throughput implementations are required in order to realize real-time TDD massive MIMO communications, especially in high mobility scenarios. One of the main challenges is that the up-link and down-link turnaround time has to be within the coherence time of the wireless channel to enable efficient use of reciprocity. This paper presents a hardware architecture and implementation of this critical signal processing path, including channel estimation, QRD-based MMSE decoder/precoder and distributed reciprocity calibration. Furthermore, we detail a switch-based router implementation to tackle the stringent throughput and latency requirements on the data shuffling network. The proposed architecture was verified on the LuMaMi testbed, based on the NI SDR platform. The implementation supports real-time TDD transmission in a 128x12 massive MIMO setup using 20 MHz channel bandwidth. The processing latency in the critical path is less than 0.15 ms, enabling reciprocity-based TDD massive MIMO for high-mobility scenarios.


External organisations
  • National Instruments
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Signal Processing


  • Massive MIMO, TDD, Low-latency, SDR
Original languageEnglish
Number of pages6
Publication statusPublished - 2017
Publication categoryResearch
EventIEEE International Workshop on Signal Processing Systems - The Hyatt Regency North Dallas, Dallas, United States
Duration: 2016 Oct 262016 Oct 28


WorkshopIEEE International Workshop on Signal Processing Systems
Abbreviated titleSiPS 2016
CountryUnited States
Internet address

Total downloads

No data available

Related research output

Steffen Malkowsky, 2019 Apr 17, Department of Electrical and Information Technology, Lund University. 178 p.

Research output: ThesisDoctoral Thesis (monograph)

View all (1)