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Scaling up MIMO: Opportunities and Challenges with Very Large Arrays
EIT, LU.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.
EIT, LU.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-7599-4367
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2013 (English)In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 30, no 1, 40-60 p.Article in journal (Refereed) Published
Abstract [en]

Multiple-input multiple-output (MIMO) technology is maturing and is being incorporated into emerging wireless broadband standards like long-term evolution (LTE) [1]. For example, the LTE standard allows for up to eight antenna ports at the base station. Basically, the more antennas the transmitter/receiver is equipped with, and the more degrees of freedom that the propagation channel can provide, the better the performance in terms of data rate or link reliability. More precisely, on a quasi static channel where a code word spans across only one time and frequency coherence interval, the reliability of a point-to-point MIMO link scales according to Prob(link outage) ` SNR-ntnr where nt and nr are the numbers of transmit and receive antennas, respectively, and signal-to-noise ratio is denoted by SNR. On a channel that varies rapidly as a function of time and frequency, and where circumstances permit coding across many channel coherence intervals, the achievable rate scales as min(nt, nr) log(1 + SNR). The gains in multiuser systems are even more impressive, because such systems offer the possibility to transmit simultaneously to several users and the flexibility to select what users to schedule for reception at any given point in time [2].

Place, publisher, year, edition, pages
IEEE , 2013. Vol. 30, no 1, 40-60 p.
Keyword [en]
MIMO, Signal to noise ratio, Telecommunication network management, Telecommunication network reliability, Time frequency analysis, Wireless networks
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-71581DOI: 10.1109/MSP.2011.2178495ISI: 000315349700006OAI: oai:DiVA.org:liu-71581DiVA: diva2:450781
Available from: 2011-10-21 Created: 2011-10-21 Last updated: 2017-12-08

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Persson, DanielLarsson, Erik G.

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