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Record
Title
Hardware Efficient Approximative Matrix Inversion for Linear Pre-Coding in Massive MIMO
Type
Conference Proceeding/Paper
Publ. year
2014
Author/s
Prabhu, Hemanth; Edfors, Ove; Rodrigues, Joachim; Liu, Liang et al.
Department/s
ELLIIT: the Linköping-Lund initiative on IT and mobile communication; Department of Electrical and Information Technology
In LUP since
2016-04-01
Downloads

Total This Year This Month
1522 21 0
Downloads per country

United States of America 446 (29%)
Sweden 181 (12%)
India 119 (8%)
China 114 (7%)
Germany 91 (6%)
South Korea 45 (3%)
Russian Federation 44 (3%)
Taiwan (China) 43 (3%)
United Kingdom of Great Britain and Northern Ireland 42 (3%)
Brazil 31 (2%)
France 21 (1%)
Canada 21 (1%)
Egypt 19 (1%)
Hong Kong (China) 19 (1%)
Israel 19 (1%)
Unknown 19 (1%)
Iran 16 (1%)
Viet Nam 16 (1%)
Japan 14 (1%)
Italy 14 (1%)
Spain 13 (1%)
Czechia 13 (1%)
Netherlands (Kingdom of the) 11 (1%)
Greece 8 (1%)
Algeria 8 (1%)
Ukraine 8 (1%)
Finland 8 (1%)
Switzerland 8 (1%)
Denmark 7 (0%)
Belgium 7 (0%)
Austria 7 (0%)
Pakistan 6 (0%)
Singapore 6 (0%)
Australia 5 (0%)
Romania 5 (0%)
United Arab Emirates 4 (0%)
Ireland 4 (0%)
Saudi Arabia 4 (0%)
South Africa 4 (0%)
Mexico 3 (0%)
Turkiye 3 (0%)
Norway 3 (0%)
Portugal 3 (0%)
Montenegro 3 (0%)
Ethiopia 3 (0%)
European Union location 2 (0%)
Poland 2 (0%)
Latvia 2 (0%)
Indonesia 2 (0%)
Tunisia 2 (0%)
Argentina 2 (0%)
Serbia 2 (0%)
Syrian Arab Republic 2 (0%)
Cambodia 2 (0%)
Hungary 2 (0%)
Senegal 1 (0%)
Thailand 1 (0%)
Kazakhstan 1 (0%)
New Zealand 1 (0%)
Kenya 1 (0%)
Morocco 1 (0%)
Lebanon 1 (0%)
Ecuador 1 (0%)
Colombia 1 (0%)
Malaysia 1 (0%)
Sri Lanka 1 (0%)
Bulgaria 1 (0%)
Asia-Pacific location 1 (0%)
Chile 1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access fulltexts. Efforts have been made to exclude downloads by robots and track irregular download activities.

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The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
Wed Dec 24 08:25:38 2025