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Article: Tight Probabilistic SINR Constrained Beamforming Under Channel Uncertainties
Title | Tight Probabilistic SINR Constrained Beamforming Under Channel Uncertainties |
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Authors | |
Keywords | channel uncertainty Probabilistic SINR constrained beamforming tight probabilistic control |
Issue Date | 2015 |
Citation | IEEE Transactions on Signal Processing, 2015, v. 63, p. 3490-3505 How to Cite? |
Abstract | In downlink multi-user beamforming, a single bases- tation is serving a number of users simultaneously. However, energy intended for one user may leak to other unintended users, causing interference. With signal-to-interference-plus-noise ratio (SINR) being one of the most crucial quality metrics to users, beamforming design with SINR guarantee has always been an important research topic. However, when the channel state information is not accurate, the SINR requirements become probabilistic constraints, which unfortunately are not tractable analytically for general uncertainty distribution. Therefore, ex- isting probabilistic beamforming methods focus on the relatively simple Gaussian and uniform channel uncertainties, and mainly rely on probability inequality based approximated solutions, resulting in conservative SINR outage realizations. In this paper, based on the local structure of the feasible set in the probabilistic beamforming problem, a systematic method is proposed to realize tight SINR outage control for a large class of channel uncertainty distributions. With channel estimation and quantization errors as examples, simulation results show that the SINR outage can be re- alized tightly, which results in reduced transmit power compared to the existing inequality based probabilistic beamformers. |
Persistent Identifier | http://hdl.handle.net/10722/214164 |
ISSN | 2021 Impact Factor: 4.875 2020 SCImago Journal Rankings: 1.638 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | HE, X | - |
dc.contributor.author | Wu, YC | - |
dc.date.accessioned | 2015-08-21T10:51:27Z | - |
dc.date.available | 2015-08-21T10:51:27Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | IEEE Transactions on Signal Processing, 2015, v. 63, p. 3490-3505 | - |
dc.identifier.issn | 1053-587X | - |
dc.identifier.uri | http://hdl.handle.net/10722/214164 | - |
dc.description.abstract | In downlink multi-user beamforming, a single bases- tation is serving a number of users simultaneously. However, energy intended for one user may leak to other unintended users, causing interference. With signal-to-interference-plus-noise ratio (SINR) being one of the most crucial quality metrics to users, beamforming design with SINR guarantee has always been an important research topic. However, when the channel state information is not accurate, the SINR requirements become probabilistic constraints, which unfortunately are not tractable analytically for general uncertainty distribution. Therefore, ex- isting probabilistic beamforming methods focus on the relatively simple Gaussian and uniform channel uncertainties, and mainly rely on probability inequality based approximated solutions, resulting in conservative SINR outage realizations. In this paper, based on the local structure of the feasible set in the probabilistic beamforming problem, a systematic method is proposed to realize tight SINR outage control for a large class of channel uncertainty distributions. With channel estimation and quantization errors as examples, simulation results show that the SINR outage can be re- alized tightly, which results in reduced transmit power compared to the existing inequality based probabilistic beamformers. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Signal Processing | - |
dc.subject | channel uncertainty | - |
dc.subject | Probabilistic SINR constrained beamforming | - |
dc.subject | tight probabilistic control | - |
dc.title | Tight Probabilistic SINR Constrained Beamforming Under Channel Uncertainties | - |
dc.type | Article | - |
dc.identifier.email | Wu, YC: ycwu@eee.hku.hk | - |
dc.identifier.authority | Wu, YC=rp00195 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TSP.2015.2425806 | - |
dc.identifier.scopus | eid_2-s2.0-84933055605 | - |
dc.identifier.hkuros | 248925 | - |
dc.identifier.volume | 63 | - |
dc.identifier.spage | 3490 | - |
dc.identifier.epage | 3505 | - |
dc.identifier.eissn | 1941-0476 | - |
dc.identifier.isi | WOS:000355994200016 | - |
dc.identifier.issnl | 1053-587X | - |