Multi-input Multi-output (mimo) Detection Systems

dc.contributor.patentcreator Ma, Xiaoli
dc.contributor.patentcreator Wen, Qingsong
dc.date.accessioned 2018-04-24T16:56:52Z
dc.date.available 2018-04-24T16:56:52Z
dc.date.filed 2016-02-29
dc.date.issued 2017-07-11
dc.description.abstract Embodiments of the present invention provide efficient greedy LLL algorithms that not only converge faster but also exhibit much lower complexity than the existing greedy LLL variants while similar error performance is maintained. First, a relaxed Lovász condition is designed for searching the candidate set of LLL iterations with column swap operations. This relaxation does not need size reduction operations so that it can save complexity compared to the existing greedy LLL algorithms. Further, a relaxed criterion of the decrease in LLL potential is designed to select the optimal one in the candidate set of LLL iterations, which also exhibits lower complexity than the existing greedy LLL algorithms. Furthermore, simulations show that the inventive algorithm needs less LLL iterations compared to the existing greedy LLL algorithms.
dc.description.assignee Georgia Tech Research Corporation
dc.identifier.cpc H04L1/203
dc.identifier.cpc H04L25/0246
dc.identifier.cpc H04B7/0413
dc.identifier.patentapplicationnumber 15/056986
dc.identifier.patentnumber 9705646
dc.identifier.uri http://hdl.handle.net/1853/59593
dc.title Multi-input Multi-output (mimo) Detection Systems
dc.type Text
dc.type.genre Patent
dspace.entity.type Publication
local.contributor.corporatename Georgia Institute of Technology
local.relation.ispartofseries Georgia Tech Patents
relation.isOrgUnitOfPublication cc30e153-7a64-4ae2-9b1d-5436686785e3
relation.isSeriesOfPublication 0f49c79d-4efb-4bd9-b060-5c7f9191b9da
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