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Interference alignment (IA) and coordinated multi-point (CoMP) overheads and RF impairments: Testbed results
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
2014 (English)In: 2014 IEEE 80th Vehicular Technology Conference (VTC Fall), 2014, 1-7 p.Conference paper (Refereed)
Abstract [en]

In this work we investigate the network MIMO techniques of interference alignment (IA) and joint transmission coordinated multipoint (CoMP) in an indoor very small cell environment. Our focus is on the overheads in a system with quantized channel state feedback from the receiver to the transmitter (based on the 802.11ac standard) and on the impact of non-ideal hardware. The indoor office scenario should be the most favorable case in terms of the required feedback rates due to the large coherence bandwidth and coherence time of the channel.The evaluations are done using a real-world wireless testbed with three BSs and three MSs all having two antennas. The signal to noise ratio in the measurements is very high, 35-60dB, due to the short transmission range. Under such conditions radio hardware impairments becomes a major limitation on the performance. We quantify the impact of these impairments. For a 23ms update interval the overhead is 2.5% and IA and CoMP improves the sum throughput 25% and 50% in average (over the reference schemes e.g. TDMA MIMO), under stationary conditions. When two people are walking in the measurement area the throughput improvements drops to 17% and 45%, respectively.

Place, publisher, year, edition, pages
2014. 1-7 p.
Keyword [en]
Hardware, MIMO systems, Signal to noise ratio, State feedback, Testbeds, Coherence bandwidth, Coordinated multi point (CoMP), Interference alignment, Joint transmissions, Quantized channel state, Stationary conditions, Throughput improvement, Transmission ranges, Time division multiple access
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-167051DOI: 10.1109/VTCFall.2014.6966014ISI: 000353345400214ScopusID: 2-s2.0-84919430181ISBN: 9781479944491OAI: diva2:813000
80th IEEE Vehicular Technology Conference, VTC 2014-Fall, 14 September 2014 through 17 September 2014

QC 20150521

Available from: 2015-05-21 Created: 2015-05-21 Last updated: 2015-06-16Bibliographically approved

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