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Performance Analysis of Quantized Uplink Massive MIMO-OFDM With Oversampling Under Adjacent Channel Interference
Middle East Tech Univ, Turkey.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5954-434X
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
Middle East Tech Univ, Turkey.
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2020 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 68, no 2, p. 871-886Article in journal (Refereed) Published
Abstract [en]

Massive multiple-input multiple-output (MIMO) systems have attracted much attention lately due to the many advantages they provide over single-antenna systems. Owing to the many antennas, low-cost implementation and low power consumption per antenna are desired. To that end, massive MIMO structures with low-resolution analog-to-digital converters (ADC) have been investigated in many studies. However, the effect of a strong interferer in the adjacent band on quantized massive MIMO systems have not been examined yet. In this study, we analyze the performance of uplink massive MIMO with low-resolution ADCs under frequency selective fading with orthogonal frequency division multiplexing (OFDM) in the perfect and imperfect receiver channel state information cases. We derive analytical expressions for the bit error rate and ergodic capacity. We show that the interfering band can be suppressed by increasing the number of antennas or the oversampling rate when a zero-forcing receiver is employed.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2020. Vol. 68, no 2, p. 871-886
Keywords [en]
OFDM; Uplink; Receivers; Quantization (signal); Channel estimation; Covariance matrices; Oversampling; analog-to-digital converter; interferer; massive MIMO; analysis; quantization; one-bit; low-resolution; uplink
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-165097DOI: 10.1109/TCOMM.2019.2954512ISI: 000521962000016OAI: oai:DiVA.org:liu-165097DiVA, id: diva2:1423721
Note

Funding Agencies|ASELSAN Graduate Scholarship for Turkish Academicians

Available from: 2020-04-15 Created: 2020-04-15 Last updated: 2020-04-15

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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Output format
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