Massive MIMO in Real Propagation Environments: Do All Antennas Contribute Equally?
Gao, Xiang LU ; Edfors, Ove LU
; Tufvesson, Fredrik
LU
and Larsson, Erik G.
(2015)
In IEEE Transactions on Communications
63(11).
p.3917-3928
- Abstract
- Massive MIMO can greatly increase both spectral and transmit-energy efficiency. This is achieved by allowing the number of antennas and RF chains to grow very large. However, the challenges include high system complexity and hardware energy consumption. Here we investigate the possibilities to reduce the required number of RF chains, by performing antenna selection. While this approach is not a very effective strategy for
theoretical independent Rayleigh fading channels, a substantial reduction in the number of RF chains can be achieved for real massive MIMO channels, without significant performance loss. We evaluate antenna selection performance on measured channels at 2.6 GHz, using a linear and a cylindrical array, both having... (More) - Massive MIMO can greatly increase both spectral and transmit-energy efficiency. This is achieved by allowing the number of antennas and RF chains to grow very large. However, the challenges include high system complexity and hardware energy consumption. Here we investigate the possibilities to reduce the required number of RF chains, by performing antenna selection. While this approach is not a very effective strategy for
theoretical independent Rayleigh fading channels, a substantial reduction in the number of RF chains can be achieved for real massive MIMO channels, without significant performance loss. We evaluate antenna selection performance on measured channels at 2.6 GHz, using a linear and a cylindrical array, both having 128 elements. Sum-rate maximization is used as the criterion for antenna selection. A selection scheme based on convex optimization is nearly optimal and used as a benchmark. The achieved sum-rate is compared with that of a very simple scheme that selects the antennas with the highest received power. The power-based scheme gives performance close to the convex optimization scheme, for the measured channels. This observation indicates a potential for significant reductions of massive MIMO
implementation complexity, by reducing the number of RF chains and performing antenna selection using simple algorithms. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/7695486
- author
- Gao, Xiang
LU
; Edfors, Ove
LU
; Tufvesson, Fredrik
LU
and Larsson, Erik G.
- organization
- publishing date
- 2015
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- large-scale fading, spatial diversity, multi-user MIMO, Massive MIMO, antenna selection, channel measurements, channel capacity, sum-rate, linear precoding, 5G
- in
- IEEE Transactions on Communications
- volume
- 63
- issue
- 11
- pages
- 3917 - 3928
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- wos:000366506500002
- scopus:84959482904
- ISSN
- 0090-6778
- DOI
- 10.1109/TCOMM.2015.2462350
- language
- English
- LU publication?
- yes
- id
- 511a430c-3c75-4a12-8415-7f600f4644bd (old id 7695486)
- date added to LUP
- 2016-04-01 12:58:52
- date last changed
- 2024-03-12 21:19:48
@article{511a430c-3c75-4a12-8415-7f600f4644bd,
abstract = {{Massive MIMO can greatly increase both spectral and transmit-energy efficiency. This is achieved by allowing the number of antennas and RF chains to grow very large. However, the challenges include high system complexity and hardware energy consumption. Here we investigate the possibilities to reduce the required number of RF chains, by performing antenna selection. While this approach is not a very effective strategy for<br/><br>
theoretical independent Rayleigh fading channels, a substantial reduction in the number of RF chains can be achieved for real massive MIMO channels, without significant performance loss. We evaluate antenna selection performance on measured channels at 2.6 GHz, using a linear and a cylindrical array, both having 128 elements. Sum-rate maximization is used as the criterion for antenna selection. A selection scheme based on convex optimization is nearly optimal and used as a benchmark. The achieved sum-rate is compared with that of a very simple scheme that selects the antennas with the highest received power. The power-based scheme gives performance close to the convex optimization scheme, for the measured channels. This observation indicates a potential for significant reductions of massive MIMO<br/><br>
implementation complexity, by reducing the number of RF chains and performing antenna selection using simple algorithms.}},
author = {{Gao, Xiang and Edfors, Ove and Tufvesson, Fredrik and Larsson, Erik G.}},
issn = {{0090-6778}},
keywords = {{large-scale fading; spatial diversity; multi-user MIMO; Massive MIMO; antenna selection; channel measurements; channel capacity; sum-rate; linear precoding; 5G}},
language = {{eng}},
number = {{11}},
pages = {{3917--3928}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Transactions on Communications}},
title = {{Massive MIMO in Real Propagation Environments: Do All Antennas Contribute Equally?}},
url = {{https://lup.lub.lu.se/search/files/3085841/7695592.pdf}},
doi = {{10.1109/TCOMM.2015.2462350}},
volume = {{63}},
year = {{2015}},
}