Algorithm and Hardware Aspects of Pre-coding in Massive MIMO Systems

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding


Massive Multiple-Input Multiple-Output (MIMO) systems have been shown to improve both spectral and energy efficiency one or more orders of magnitude by efficiently exploiting the spatial domain. Low-cost RF chains can be employed to reduce the Base Station (BS) cost, however this may require additional baseband processing to handle induced distortions due to the hardware impairments. In this article the reduction of Peak-to-Average power Ratio (PAR) of the transmitted signals and IQ imbalance in the mixer are analyzed for the down-link.
We analyze various pre-coding schemes and estimate the required processing energy per transmitted information bit. Simulation on gate-level show that the energy cost of performing pre-coding and tackling of hardware impairments range from very low to reasonable, compared to the processing necessary in a system without impairments.


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Communication Systems


  • massive MIMO, 5G, pre-coding hardware
Original languageEnglish
Title of host publication2015 49th Asilomar Conference on Signals, Systems and Computers
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Print)978-1-4673-8574-9
Publication statusPublished - 2015
Publication categoryResearch
Event49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, California, Pacific Grove, United States
Duration: 2015 Nov 82015 Nov 11


Conference49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
CountryUnited States
CityPacific Grove

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