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Human and Machine Type Communications Can Coexist in Uplink Massive MIMO Systems
Linköping Univ, Dept Elect Engn, Linköping, Sweden..
Linköping Univ, Dept Elect Engn, Linköping, Sweden..ORCID iD: 0000-0002-5954-434x
Linköping Univ, Dept Elect Engn, Linköping, Sweden..
2018 (English)In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 6613-6617, article id 8461726Conference paper, Published paper (Refereed)
Abstract [en]

Future cellular networks are expected to support new communication paradigms such as machine-type communication (MTC) services along with human-type communication (HTC) services. This requires base stations to serve a large number of devices in relatively short channel coherence intervals which renders allocation of orthogonal pilot sequence per-device approaches impractical. Furthermore. the stringent power constraints, place-and-play type connectivity and various data rate requirements of MTC devices make it impossible for the traditional cellular architecture to accommodate MTC and HTC services together. Massive multiple-input-multiple-output (MaMIMO) technology has the potential to allow the coexistence of HTC and MTC services, thanks to its inherent spatial multiplexing properties and low transmission power requirements. In this work, we investigate the performance of a single cell under a shared physical channel assumption for MTC and HTC services and propose a novel scheme for sharing the time-frequency resources. The analysis reveals that MaMIMO can significantly enhance the performance of such a setup and allow the inclusion of MTC services into the cellular networks without requiring additional resources.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 6613-6617, article id 8461726
Series
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, ISSN 1520-6149
Keywords [en]
MIMO, Machine Type Communication
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-295896DOI: 10.1109/ICASSP.2018.8461726ISI: 000446384606154Scopus ID: 2-s2.0-85054213179OAI: oai:DiVA.org:kth-295896DiVA, id: diva2:1664669
Conference
2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018, Calgary, 15 April 2018 through 20 April 2018
Note

QC 20220616

Part of proceedings: ISBN 978-1-5386-4658-8

Available from: 2022-06-04 Created: 2022-06-04 Last updated: 2022-06-25Bibliographically approved

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Björnson, Emil

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