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Compressive Sensing with Applications to Millimeter-wave Architectures
KTH, Skolan för elektroteknik och datavetenskap (EECS), Nätverk och systemteknik.ORCID-id: 0000-0002-9442-671X
Univ Kansas, Dept EECS, Lawrence, KS 66045 USA..
KTH, Skolan för elektroteknik och datavetenskap (EECS), Nätverk och systemteknik.ORCID-id: 0000-0001-9810-3478
KTH, Skolan för elektroteknik och datavetenskap (EECS), Teknisk informationsvetenskap.ORCID-id: 0000-0002-7926-5081
2019 (engelsk)Inngår i: 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), IEEE , 2019, s. 7834-7838Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

To make the system available at low-cost, millimeter-ave (mmWave) multiple-input multiple-output (MIMO) architectures employ analog arrays, which are driven by a limited number of radio frequency (RF) chains. One primary challenge of using large hybrid analog-digital arrays is that the digital baseband cannot directly access the signal to/from each antenna. To address this limitation, recent research has focused on retransmissions, iterative precoding, and subspace decomposition methods. Unlike these approaches that exploited the channel's low-rank, in this work we exploit the sparsity of the received signal at both the transmit/receive antennas. While the signal itself is de facto dense, it is well-known that most signals are sparse under an appropriate choice of basis. By delving into the structured compressive sensing (CS) framework and adapting them to variants of the mmWave hybrid architectures, we provide methodologies to recover the analog signal at each antenna from the (low-dimensional) digital signal. Moreover, we characterizes the minimal numbers of measurement and RF chains to provide this recovery, with high probability. We discuss their applications to common variants of the hybrid architecture. By leveraging the inherent sparsity of the received signal, our analysis reveals that a hybrid MIMO system can be " turned into" a fully digital one: the number of needed RF chains increases logarithmically with the number of antennas.

sted, utgiver, år, opplag, sider
IEEE , 2019. s. 7834-7838
Serie
International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-261067DOI: 10.1109/ICASSP.2019.8683604ISI: 000482554008014Scopus ID: 2-s2.0-85069003459ISBN: 978-1-4799-8131-1 (tryckt)OAI: oai:DiVA.org:kth-261067DiVA, id: diva2:1356416
Konferanse
44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), MAY 12-17, 2019, Brighton, ENGLAND
Merknad

QC 20191001

Tilgjengelig fra: 2019-10-01 Laget: 2019-10-01 Sist oppdatert: 2019-10-01bibliografisk kontrollert

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Ghauch, HadiFischione, CarloSkoglund, Mikael

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