Compressive sensing for feedback reduction in MIMO broadcast channels

Handle URI:
http://hdl.handle.net/10754/563745
Title:
Compressive sensing for feedback reduction in MIMO broadcast channels
Authors:
Eltayeb, Mohammed E.; Al-Naffouri, Tareq Y.; Bahrami, Hamid Reza Talesh
Abstract:
In multi-antenna broadcast networks, the base stations (BSs) rely on the channel state information (CSI) of the users to perform user scheduling and downlink transmission. However, in networks with large number of users, obtaining CSI from all users is arduous, if not impossible, in practice. This paper proposes channel feedback reduction techniques based on the theory of compressive sensing (CS), which permits the BS to obtain CSI with acceptable recovery guarantees under substantially reduced feedback overhead. Additionally, assuming noisy CS measurements at the BS, inexpensive ways for improving post-CS detection are explored. The proposed techniques are shown to reduce the feedback overhead, improve CS detection at the BS, and achieve a sum-rate close to that obtained by noiseless dedicated feedback channels.
KAUST Department:
Electrical Engineering Program
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Communications
Issue Date:
Sep-2014
DOI:
10.1109/TCOMM.2014.2347964
Type:
Article
ISSN:
00906778
Sponsors:
The work of T. Y. Al-Naffouri was supported by King Abdulaziz City for Science and Technology (KACST) through the Science and Technology Unit at King Fahd University of Petroleum and Minerals (KFUPM) under Project AR-29-79. The editor coordinating the review of this paper and approving it for publication was A. Tajer.
Appears in Collections:
Articles; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorEltayeb, Mohammed E.en
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.contributor.authorBahrami, Hamid Reza Taleshen
dc.date.accessioned2015-08-03T12:08:42Zen
dc.date.available2015-08-03T12:08:42Zen
dc.date.issued2014-09en
dc.identifier.issn00906778en
dc.identifier.doi10.1109/TCOMM.2014.2347964en
dc.identifier.urihttp://hdl.handle.net/10754/563745en
dc.description.abstractIn multi-antenna broadcast networks, the base stations (BSs) rely on the channel state information (CSI) of the users to perform user scheduling and downlink transmission. However, in networks with large number of users, obtaining CSI from all users is arduous, if not impossible, in practice. This paper proposes channel feedback reduction techniques based on the theory of compressive sensing (CS), which permits the BS to obtain CSI with acceptable recovery guarantees under substantially reduced feedback overhead. Additionally, assuming noisy CS measurements at the BS, inexpensive ways for improving post-CS detection are explored. The proposed techniques are shown to reduce the feedback overhead, improve CS detection at the BS, and achieve a sum-rate close to that obtained by noiseless dedicated feedback channels.en
dc.description.sponsorshipThe work of T. Y. Al-Naffouri was supported by King Abdulaziz City for Science and Technology (KACST) through the Science and Technology Unit at King Fahd University of Petroleum and Minerals (KFUPM) under Project AR-29-79. The editor coordinating the review of this paper and approving it for publication was A. Tajer.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectcompressive sensingen
dc.subjectfeedback reduction,opportunistic schedulingen
dc.subjectleast absolute shrinkage and selection operator (LASSO)en
dc.subjectMulti-input multi-output (MIMO)en
dc.titleCompressive sensing for feedback reduction in MIMO broadcast channelsen
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalIEEE Transactions on Communicationsen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of AkronAkron, OH, United Statesen
dc.contributor.institutionDepartment of Electrical Engineering, King Fahd University of Petroleum and MineralsDhahran, Saudi Arabiaen
kaust.authorAl-Naffouri, Tareq Y.en
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