Chen, Y.Cheng, W.Li, C.Haas, Zygmunt J.2019-07-222019-07-222018-09-200018-9545https://hdl.handle.net/10735.1/6715Full text access from Treasures at UT Dallas is restricted to current UTD affiliates (use the provided Link to Article). All others may find the web address for this item in the full item record as "dc.relation.uri" metadata.Generalized spatial modulation (GSM) is an attractive transmission technique for multiple-input multiple-output (MIMO) systems because of its spectral efficiency and energy efficiency. The maximum likelihood (ML) detector provides the optimal performance for GSM signal detection, but also leads to a high level of detection complexity. In this paper, both hard-decision and soft-decision detectors, which are based on a low-complexity codebook-assisted tree-search algorithm, are investigated. In addition, outer low-density parity-check (LDPC) codes are designed such that the concatenated schemes are able to provide error performances which are very close to those of the schemes using conventional detectors, but with a much lower level of computational complexity.en©2018 IEEEInformation theoryEnergy consumptionMIMO systemsArtificial satellites in telecommunicationTrees--Mathematical modelsDetectorsModulation theoryarticleChen, Y., W. Cheng, C. Li, and Z. J. Haas. 2018. "Low-complexity generalized spatial modulation schemes using codebook-assisted MIMO detectors." IEEE Transactions on Vehicular Technology 67(12): 12358-12362, doi:10.1109/TVT.2018.28715776712