Extremely Large Aperture Massive MIMO: Low Complexity Receiver Architectures

Abolfazl Amiri, Marko Angjelichinoski, Elisabeth De Carvalho, Robert W Heath Jr

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

This paper focuses on new communication paradigms arising in massive multiple-input-multiple-output systems where the antenna array at the base station is of extremely large dimension (xMaMIMO). Due to the extreme dimension of the array, xMaMIMO is characterized by spatial non-stationary field properties along the array; this calls for a multi-antenna transceiver design that is adapted to the array dimension but also its non-stationary properties. We address implementation aspects of xMaMIMO, with computational efficiency as our primary objective. To reduce the computational burden of centralized schemes, we distribute the processing into smaller, disjoint subarrays. Then, we consider several low-complexity data detection algorithms as candidates for uplink communication in crowded xMaMIMO systems. Drawing inspiration from coded random access, one of the main contributions of the paper is the design of low complexity scheme that exploits the non-stationary nature of xMaMIMO systems and where the data processing is decentralized. We evaluate the bit-error-rate performance of the transceivers in crowded xMaMIMO scenarios. The results confirm their practical potential.
OriginalsprogEngelsk
Titel2018 IEEE Globecom Workshops (GC Wkshps)
Antal sider6
ForlagIEEE
Publikationsdato21 feb. 2019
Artikelnummer8644126
ISBN (Trykt)978-1-5386-4921-3
ISBN (Elektronisk)978-1-5386-4920-6
DOI
StatusUdgivet - 21 feb. 2019
Begivenhed2018 IEEE Globecom Workshops (GC Wkshps) - Abu Dhabi, United Arab Emirates
Varighed: 9 dec. 201813 dec. 2018

Konference

Konference2018 IEEE Globecom Workshops (GC Wkshps)
LandUnited Arab Emirates
ByAbu Dhabi
Periode09/12/201813/12/2018
NavnIEEE Globecom Workshops (GC Wkshps)

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MIMO systems
Transceivers
Communication
Computational efficiency
Antenna arrays
Base stations
Bit error rate
Antennas
Processing

Emneord

    Citer dette

    Amiri, A., Angjelichinoski, M., Carvalho, E. D., & Heath Jr, R. W. (2019). Extremely Large Aperture Massive MIMO: Low Complexity Receiver Architectures. I 2018 IEEE Globecom Workshops (GC Wkshps) [8644126] IEEE. IEEE Globecom Workshops (GC Wkshps) https://doi.org/10.1109/GLOCOMW.2018.8644126
    Amiri, Abolfazl ; Angjelichinoski, Marko ; Carvalho, Elisabeth De ; Heath Jr, Robert W . / Extremely Large Aperture Massive MIMO : Low Complexity Receiver Architectures. 2018 IEEE Globecom Workshops (GC Wkshps). IEEE, 2019. (IEEE Globecom Workshops (GC Wkshps)).
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    abstract = "This paper focuses on new communication paradigms arising in massive multiple-input-multiple-output systems where the antenna array at the base station is of extremely large dimension (xMaMIMO). Due to the extreme dimension of the array, xMaMIMO is characterized by spatial non-stationary field properties along the array; this calls for a multi-antenna transceiver design that is adapted to the array dimension but also its non-stationary properties. We address implementation aspects of xMaMIMO, with computational efficiency as our primary objective. To reduce the computational burden of centralized schemes, we distribute the processing into smaller, disjoint subarrays. Then, we consider several low-complexity data detection algorithms as candidates for uplink communication in crowded xMaMIMO systems. Drawing inspiration from coded random access, one of the main contributions of the paper is the design of low complexity scheme that exploits the non-stationary nature of xMaMIMO systems and where the data processing is decentralized. We evaluate the bit-error-rate performance of the transceivers in crowded xMaMIMO scenarios. The results confirm their practical potential.",
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    Amiri, A, Angjelichinoski, M, Carvalho, ED & Heath Jr, RW 2019, Extremely Large Aperture Massive MIMO: Low Complexity Receiver Architectures. i 2018 IEEE Globecom Workshops (GC Wkshps)., 8644126, IEEE, IEEE Globecom Workshops (GC Wkshps), Abu Dhabi, United Arab Emirates, 09/12/2018. https://doi.org/10.1109/GLOCOMW.2018.8644126

    Extremely Large Aperture Massive MIMO : Low Complexity Receiver Architectures. / Amiri, Abolfazl; Angjelichinoski, Marko; Carvalho, Elisabeth De; Heath Jr, Robert W .

    2018 IEEE Globecom Workshops (GC Wkshps). IEEE, 2019. 8644126.

    Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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    AU - Angjelichinoski, Marko

    AU - Carvalho, Elisabeth De

    AU - Heath Jr, Robert W

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    N2 - This paper focuses on new communication paradigms arising in massive multiple-input-multiple-output systems where the antenna array at the base station is of extremely large dimension (xMaMIMO). Due to the extreme dimension of the array, xMaMIMO is characterized by spatial non-stationary field properties along the array; this calls for a multi-antenna transceiver design that is adapted to the array dimension but also its non-stationary properties. We address implementation aspects of xMaMIMO, with computational efficiency as our primary objective. To reduce the computational burden of centralized schemes, we distribute the processing into smaller, disjoint subarrays. Then, we consider several low-complexity data detection algorithms as candidates for uplink communication in crowded xMaMIMO systems. Drawing inspiration from coded random access, one of the main contributions of the paper is the design of low complexity scheme that exploits the non-stationary nature of xMaMIMO systems and where the data processing is decentralized. We evaluate the bit-error-rate performance of the transceivers in crowded xMaMIMO scenarios. The results confirm their practical potential.

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    PB - IEEE

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    Amiri A, Angjelichinoski M, Carvalho ED, Heath Jr RW. Extremely Large Aperture Massive MIMO: Low Complexity Receiver Architectures. I 2018 IEEE Globecom Workshops (GC Wkshps). IEEE. 2019. 8644126. (IEEE Globecom Workshops (GC Wkshps)). https://doi.org/10.1109/GLOCOMW.2018.8644126