Performance Bounds for Very Large Multiuser MIMO Systems
2012 (English)Licentiate thesis, comprehensive summary (Other academic)
The last ten years have seen significant advances of multiuser MIMO (MU-MIMO) in wireless communication. MU-MIMO is now being introduced in several new generation wireless standards (e.g.,LTE-Advanced, 802.16m). The number of users is increasing with more and more applications. At the same time, high transmission data rate and communication reliability are required. Furthermore, there is a growing concern about green communication which relates to the effects of the radiation emitted from wireless devices onthe human body. Therefore, the future MU-MIMO systems have to satisfy three main requirements: i) serving many autonomous users in the same time-frequency resource, ii) having high data rate and communication reliability, and iii) less energy consumption/radiation. These are seemingly contradictory requirements since the more users are served, the more interference the systems will suffer, or the more data rate is transmitted, the more power is required. MU-MIMO with very large antenna arrays seems to meet above demands and hence, it can be considered as a promising technology for next generation wireless systems. With very large antenna arrays (we mean arrays comprising say a hundred of antennas), the channel vectors are nearly-orthogonal and hence, multiuser interference can be significantly reduced. As a result, many users can be simultaneously served with high data rate. In particular, with coherent processing, transmit power can be reduced dramatically owing to array gain. In this thesis, we focus on the performance bounds of MU-MIMO with very large antenna arrays. We study the fundamental limits on the system performance when using large antenna arrays under practical constraints such as low complexity processing, imperfect channel state information, intercell interference, and finite-dimensional channels.
Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2012. , 23 p.
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1562
Communication Systems Signal Processing Telecommunications
IdentifiersURN: urn:nbn:se:liu:diva-85240ISBN: 978-91-7519-729-6OAI: oai:DiVA.org:liu-85240DiVA: diva2:567398
2012-12-14, Systemet, Hus B, Campus Valla, Linköping University, Linköping, 13:15 (English)
Durisi, Giuseppe, Assistant Professor
Larsson, Erik G., Professor
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