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ADvanced multicarrier wAveforms based Massive MIMO with full-duplex capability for green 5G and beyond

Total Cost €


EC-Contrib. €






Project "ADAM5" data sheet

The following table provides information about the project.


Organization address
address: RUE SAINT MARTIN 292
city: PARIS CEDEX 03
postcode: 75141

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 185˙076 €
 EC max contribution 185˙076 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-11-01   to  2020-10-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

ADAM5 aims to advance the development of the composite of three concepts: Massive MIMO, post-OFDM Multicarrier Waveforms (MWF) and full-duplex (FD), a new and most promising direction in 5G & beyond. ADAM5 will substantially contribute to the development of practical solutions to enable highly spectral-efficient, very low-cost and highly energy-efficient 5G systems. ADAM5 target is to propose new digital signal processing based solutions coping with the expected 5G requirements, with a particular focus on mitigating RF impairments and reducing energy consumption of wireless devices, through a set of new algorithms and advanced techniques. The goals of the ADAM5 are to: 1) Analyze the effect of the most essential RF impairments on the quality of future wireless communications exploiting 5G MWFs based Massive MIMO with FD capability in terms of capacity, BER and PSD. 2) Develop reliable digital signal processing based solutions to mitigate RF impairments on both the transmitter and receiver sides of 5G communication systems. This will enable extensive use of low-cost and low-power components (e.g. mMTC devices in IoT), reduced latency, flexibility to accommodate various services, simplification of the multiple access, and robustness to interference. 3) Drastically reduce the emitted RF power so that the total energy consumption of a mobile network is lowered when implemented with simple, low-power hardware. Joint optimization for MWF design and Massive MIMO precoding technique will be studied. 4) Introduce new efficient joint approach for PAPR reduction and PA linearization adapted to the more pertinent 5G MWF based Massive MIMO with FD capability. Trade-off between efficiency and linearity will be theoretically analyzed. 5) Build a laboratory measurement and prototyping system that will be used for analysis verifications and algorithm performance assessments using true-world radio signal measurements.


year authors and title journal last update
List of publications.
2019 Xinying Cheng, Rafik Zayani, Hmaied Shaiek, Daniel Roviras
Inter-Numerology Interference Analysis and Cancellation for Massive MIMO-OFDM Downlink Systems
published pages: 177164-177176, ISSN: 2169-3536, DOI: 10.1109/access.2019.2957194
IEEE Access 7 2020-02-13
2020 Xinying Cheng, Rafik Zayani, Hmaied Shaiek, Daniel Roviras
Analysis and Cancellation of Mixed-Numerologies Interference for Massive MIMO-OFDM UL
published pages: 1-1, ISSN: 2162-2337, DOI: 10.1109/lwc.2019.2959526
IEEE Wireless Communications Letters 2020-02-13
2019 Rafik Zayani, Hmaied Shaiek, Daniel Roviras
Efficient Precoding for Massive MIMO Downlink under PA Nonlinearities
published pages: 1-1, ISSN: 1089-7798, DOI: 10.1109/lcomm.2019.2924001
IEEE Communications Letters 2019-09-02
2019 Rafik Zayani, Hmaied Shaiek, Daniel Roviras
PAPR-Aware Massive MIMO-OFDM Downlink
published pages: 25474-25484, ISSN: 2169-3536, DOI: 10.1109/access.2019.2900128
IEEE Access 7 2019-06-03

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