Abstract
Spatial multiplexing using Massive MIMO has been shown to have very promising properties, including large gains in spectral efficiency and several orders of magnitude lower transmit power, as compared to today's access schemes. The properties of massive MIMO have been studied mostly for theoretical channels with independent and identically distributed (i.i.d.)
complex Gaussian coefficients. To efficiently evaluate massive MIMO in more realistic scenarios, we need channel models that capture important massive MIMO channel characteristics. We pursue this by analyzing measurement data from a measurement campaign in the 2.6 GHz frequency range, using a physically large array with 128 elements. Key propagation characteristics
are identified from the measurements. We use the cluster-based COST 2100 MIMO channel model as a basis, and propose an extension to include those important propagation properties for massive MIMO. Statistical models of the total number of clusters, their visibility regions and visibility gains at the base station side are found based on the measurement data.
complex Gaussian coefficients. To efficiently evaluate massive MIMO in more realistic scenarios, we need channel models that capture important massive MIMO channel characteristics. We pursue this by analyzing measurement data from a measurement campaign in the 2.6 GHz frequency range, using a physically large array with 128 elements. Key propagation characteristics
are identified from the measurements. We use the cluster-based COST 2100 MIMO channel model as a basis, and propose an extension to include those important propagation properties for massive MIMO. Statistical models of the total number of clusters, their visibility regions and visibility gains at the base station side are found based on the measurement data.
| Original language | English |
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| Title of host publication | 2013 Asilomar Conference on Signals, Systems and Computers |
| Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
| Pages | 280-284 |
| ISBN (Electronic) | 978-1-4799-2390-8 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 47th Annual Asilomar Conference on Signals, Systems, and Computers, 2003 - Pacific Grove, CA, Pacific Grove, CA, United States Duration: 2003 Nov 3 → 2003 Nov 6 Conference number: 47 |
Publication series
| Name | |
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| ISSN (Print) | 1058-6393 |
Conference
| Conference | 47th Annual Asilomar Conference on Signals, Systems, and Computers, 2003 |
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| Country/Territory | United States |
| City | Pacific Grove, CA |
| Period | 2003/11/03 → 2003/11/06 |
Subject classification (UKÄ)
- Electrical Engineering, Electronic Engineering, Information Engineering
Free keywords
- the COST 2100 MIMO channel model
- channel measurements
- channel modeling
- 5G
- Massive MIMO
- multi-user MIMO
- large-scale fading
- cluster visibility region