A Bayesian matching pursuit based scheduling algorithm for feedback reduction in MIMO broadcast channels

Handle URI:
http://hdl.handle.net/10754/564734
Title:
A Bayesian matching pursuit based scheduling algorithm for feedback reduction in MIMO broadcast channels
Authors:
Shibli, Hussain J.; Eltayeb, Mohammed E.; Al-Naffouri, Tareq Y.
Abstract:
Opportunistic schedulers rely on the feedback of all users in order to schedule a set of users with favorable channel conditions. While the downlink channels can be easily estimated at all user terminals via a single broadcast, several key challenges are faced during uplink transmission. First of all, the statistics of the noisy and fading feedback channels are unknown at the base station (BS) and channel training is usually required from all users. Secondly, the amount of network resources (air-time) required for feedback transmission grows linearly with the number of users. In this paper, we tackle the above challenges and propose a Bayesian based scheduling algorithm that 1) reduces the air-time required to identify the strong users, and 2) is agnostic to the statistics of the feedback channels and utilizes the a priori statistics of the additive noise to identify the strong users. Numerical results show that the proposed algorithm reduces the feedback air-time while improving detection in the presence of fading and noisy channels when compared to recent compressed sensing based algorithms. Furthermore, the proposed algorithm achieves a sum-rate throughput close to that obtained by noiseless dedicated feedback systems. © 2013 IEEE.
KAUST Department:
Electrical Engineering Program
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2013 Third International Conference on Communications and Information Technology (ICCIT)
Conference/Event name:
2013 3rd International Conference on Communications and Information Technology, ICCIT 2013
Issue Date:
Jun-2013
DOI:
10.1109/ICCITechnology.2013.6579580
Type:
Conference Paper
ISBN:
9781467353076
Appears in Collections:
Conference Papers; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorShibli, Hussain J.en
dc.contributor.authorEltayeb, Mohammed E.en
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.date.accessioned2015-08-04T07:14:11Zen
dc.date.available2015-08-04T07:14:11Zen
dc.date.issued2013-06en
dc.identifier.isbn9781467353076en
dc.identifier.doi10.1109/ICCITechnology.2013.6579580en
dc.identifier.urihttp://hdl.handle.net/10754/564734en
dc.description.abstractOpportunistic schedulers rely on the feedback of all users in order to schedule a set of users with favorable channel conditions. While the downlink channels can be easily estimated at all user terminals via a single broadcast, several key challenges are faced during uplink transmission. First of all, the statistics of the noisy and fading feedback channels are unknown at the base station (BS) and channel training is usually required from all users. Secondly, the amount of network resources (air-time) required for feedback transmission grows linearly with the number of users. In this paper, we tackle the above challenges and propose a Bayesian based scheduling algorithm that 1) reduces the air-time required to identify the strong users, and 2) is agnostic to the statistics of the feedback channels and utilizes the a priori statistics of the additive noise to identify the strong users. Numerical results show that the proposed algorithm reduces the feedback air-time while improving detection in the presence of fading and noisy channels when compared to recent compressed sensing based algorithms. Furthermore, the proposed algorithm achieves a sum-rate throughput close to that obtained by noiseless dedicated feedback systems. © 2013 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleA Bayesian matching pursuit based scheduling algorithm for feedback reduction in MIMO broadcast channelsen
dc.typeConference Paperen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journal2013 Third International Conference on Communications and Information Technology (ICCIT)en
dc.conference.date19 June 2013 through 21 June 2013en
dc.conference.name2013 3rd International Conference on Communications and Information Technology, ICCIT 2013en
dc.conference.locationBeiruten
dc.contributor.institutionUniversity of Akron, United Statesen
kaust.authorShibli, Hussain J.en
kaust.authorAl-Naffouri, Tareq Y.en
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