Summary
In view of the rapid increase in demand for mobile data services, next generation wireless communication systems will have
to provide greatly increased capacity density and high data rates greater than 50Gbps. However, satisfying these
requirements for increasing numbers of users and connected devices, and increasingly bandwidth, processing power and
energy-hungry applications will require a transformation in the way in which current mobile and wireless networks perform.
Recently, massive multiple input multiple output (MIMO) technology, where each base station (BS) is equipped with a large
number of antenna elements (typically tens or even hundreds) has emerged as a key enabler to achieve a 1000 times data
rate and enormous spectral and energy efficiency. In order for massive MIMO to become a reality, the proposed work aims
to explore transformative methods for the design of innovative techniques in 3 key challenging areas of massive MIMO
communication systems: (i) fundamental limits; (ii), (ii) transmission strategy; and (iii) caching mechanisms. The solution is
achieved with small remote antenna units equipped with compact massive MIMO arrays deployed over certain coverage
regions, and developing practical signalling schemes, network coordination, and management protocols.
to provide greatly increased capacity density and high data rates greater than 50Gbps. However, satisfying these
requirements for increasing numbers of users and connected devices, and increasingly bandwidth, processing power and
energy-hungry applications will require a transformation in the way in which current mobile and wireless networks perform.
Recently, massive multiple input multiple output (MIMO) technology, where each base station (BS) is equipped with a large
number of antenna elements (typically tens or even hundreds) has emerged as a key enabler to achieve a 1000 times data
rate and enormous spectral and energy efficiency. In order for massive MIMO to become a reality, the proposed work aims
to explore transformative methods for the design of innovative techniques in 3 key challenging areas of massive MIMO
communication systems: (i) fundamental limits; (ii), (ii) transmission strategy; and (iii) caching mechanisms. The solution is
achieved with small remote antenna units equipped with compact massive MIMO arrays deployed over certain coverage
regions, and developing practical signalling schemes, network coordination, and management protocols.
Unfold all
/
Fold all
More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/709291 |
| Start date: | 01-10-2016 |
| End date: | 30-09-2018 |
| Total budget - Public funding: | 195 454,80 Euro - 195 454,00 Euro |
Cordis data
Original description
In view of the rapid increase in demand for mobile data services, next generation wireless communication systems will haveto provide greatly increased capacity density and high data rates greater than 50Gbps. However, satisfying these
requirements for increasing numbers of users and connected devices, and increasingly bandwidth, processing power and
energy-hungry applications will require a transformation in the way in which current mobile and wireless networks perform.
Recently, massive multiple input multiple output (MIMO) technology, where each base station (BS) is equipped with a large
number of antenna elements (typically tens or even hundreds) has emerged as a key enabler to achieve a 1000 times data
rate and enormous spectral and energy efficiency. In order for massive MIMO to become a reality, the proposed work aims
to explore transformative methods for the design of innovative techniques in 3 key challenging areas of massive MIMO
communication systems: (i) fundamental limits; (ii), (ii) transmission strategy; and (iii) caching mechanisms. The solution is
achieved with small remote antenna units equipped with compact massive MIMO arrays deployed over certain coverage
regions, and developing practical signalling schemes, network coordination, and management protocols.
Status
CLOSEDCall topic
MSCA-IF-2015-EFUpdate Date
28-04-2024
Images
No images available.
Geographical location(s)
Structured mapping
Unfold all
/
Fold all
