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Multipair massive MIMO full-duplex relaying with MRC/MRT processing
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.
Department of Electrical and Electronics Engineering, University of of Peradeniya, Peradeniya, Sri Lanka.
School of Electronics, Electrical Engineering and Computer Science, Queens University of Belfast, Belfast, United Kingdom; Department of Signals and Systems, Chalmers University of of Technology, Gothenburg, Sweden.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-7599-4367
2014 (English)In: 2014 IEEE International Conference on Communications, ICC 2014, IEEE Computer Society , 2014, no 6884081, 4807-4813 p.Conference paper, Published paper (Refereed)
Abstract [en]

We consider a multipair relay channel, where multiple sources communicate with multiple destinations with the help of a full-duplex (FD) relay station (RS). All sources and destinations have a single antenna, while the RS is equipped with massive arrays. We assume that the RS estimates the channels by using training sequences transmitted from sources and destinations. Then, it uses maximum-ratio combining/maximum-ratio transmission (MRC/MRT) to process the signals. To significantly reduce the loop interference (LI) effect, we propose two massive MIMO processing techniques: i) using a massive receive antenna array; or ii) using a massive transmit antenna array together with very low transmit power at the RS. We derive an exact achievable rate in closed-form and evaluate the system spectral efficiency. We show that, by doubling the number of antennas at the RS, the transmit power of each source and of the RS can be reduced by 1.5 dB if the pilot power is equal to the signal power and by 3 dB if the pilot power is kept fixed, while maintaining a given quality-of-service. Furthermore, we compare FD and half-duplex (HD) modes and show that FD improves significantly the performance when the LI level is low. © 2014 IEEE.

Place, publisher, year, edition, pages
IEEE Computer Society , 2014. no 6884081, 4807-4813 p.
Series
2014 IEEE International Conference on Communications, ICC 2014
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-116780DOI: 10.1109/ICC.2014.6884081ISI: 000366666804162Scopus ID: 2-s2.0-84906998214ISBN: 9781479920037 (print)OAI: oai:DiVA.org:liu-116780DiVA: diva2:801370
Conference
2014 1st IEEE International Conference on Communications, ICC 2014
Available from: 2015-04-09 Created: 2015-04-02 Last updated: 2016-09-13

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Ngo, HienLarsson, Erik G

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