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Ergodic Capacity Analysis of AF DH MIMO Relay Systems With Residual Transceiver Hardware Impairments: Conventional and Large System Limits
University of Luxembourg, Luxembourg, L-1359, Luxembourg. (Signal Processing)ORCID iD: 0000-0003-2298-6774
2017 (English)In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 66, no 8, p. 7010-7025Article in journal (Refereed) Published
Abstract [en]

Despite the inevitable presence of transceiver impairments, most prior work on multiple- input multiple-output (MIMO) wireless systems assumes perfect transceiver hardware, which is unrealistic in practice. In this direction, motivated by the increasing interest in MIMO relay systems due to their improved spectral efficiency and coverage, this paper investigates the impact of residual hardware impairments on the ergodic capacity of dual-hop (DH) amplify-and-forward (AF) MIMO relay systems. Specifically, a thorough characterization of the ergodic channel capacity of DH AF relay systems in the presence of hardware impairments is presented herein for both the finite and large antenna regimes by employing results from finite-dimensional and large random matrix theory, respectively. Regarding the former setting, we derive the exact ergodic capacity as well as closed-form expressions for tight upper and lower bounds. Furthermore, we provide an insightful study for the low signal-to-noise ratio regimes. Next, the application of the free probability theory allows us to study the effects of the hardware impairments in future 5G deployments including a large number of antennas. While these results are obtained for the large system limit, simulations show that the asymptotic results are quite precise even for conventional system dimensions.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. Vol. 66, no 8, p. 7010-7025
Keywords [en]
Additives, Antennas, DH-HEMTs, Hardware, MIMO, Relays, Transceivers, Ergodic capacity, amplify-and-forward relay channel, free probability analysis, massive MIMO, residual hardware impairments
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-258990DOI: 10.1109/TVT.2017.2668460ISI: 000407686300033Scopus ID: 2-s2.0-85029478584OAI: oai:DiVA.org:kth-258990DiVA, id: diva2:1350470
Note

QC 20190913

Available from: 2019-09-11 Created: 2019-09-11 Last updated: 2024-03-15Bibliographically approved

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Ottersten, Björn

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CiteExportLink to record
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