Abstract
Massive MIMO has been shown, both in theory and through experiments, to offer very promising properties. These include the possibility to decrease
output power by at least an order of magnitude while still achieving large gains in spectral efficiency, as compared to today’s access schemes. To efficiently design communication algorithms and evaluate massive MIMO schemes, channel models that capture important massive MIMO channel characteristics are needed. We pursue this by extending a well-known cluster-based MIMO channel model - the COST 2100 model. In the paper, we suggest a model extension for massive MIMO, and we discuss main concepts, parameters and implementation issues. The modeling work is based on measurement data from a measurement campaign in the 2.6 GHz frequency range
using a physically-large array with 128 elements.
output power by at least an order of magnitude while still achieving large gains in spectral efficiency, as compared to today’s access schemes. To efficiently design communication algorithms and evaluate massive MIMO schemes, channel models that capture important massive MIMO channel characteristics are needed. We pursue this by extending a well-known cluster-based MIMO channel model - the COST 2100 model. In the paper, we suggest a model extension for massive MIMO, and we discuss main concepts, parameters and implementation issues. The modeling work is based on measurement data from a measurement campaign in the 2.6 GHz frequency range
using a physically-large array with 128 elements.
Original language | English |
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Publication status | Published - 2015 |
Event | COST IC1004, 2015 - Dublin, Ireland Duration: 2015 Jan 28 → 2015 Jan 30 |
Conference
Conference | COST IC1004, 2015 |
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Country/Territory | Ireland |
City | Dublin |
Period | 2015/01/28 → 2015/01/30 |
Subject classification (UKÄ)
- Electrical Engineering, Electronic Engineering, Information Engineering