?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Reduced+Complexity+Maximum+Likelihood+Detector+for+DFT-s-SEFDM+Systems&rft.creator=Wu%2C+T&rft.creator=Grammenos%2C+R&rft.description=In+this+paper%2C+we+report+on+the+design+of+a+Complexity-Reduced+Maximum+Likelihood+(CRML)+detector+for+DFT-spread+Spectrally+Efficient+Frequency+Division+Multiplexing+(DFT-s-SEFDM)+systems.+DFT-s-SEFDM+systems+are+similar+to+DFT-spread+Orthogonal+Frequency+Division+Multiplexing+(DFT-s-OFDM)+systems%2C+yet+offer+improved+spectral+efficiency.+Simulation+results+demonstrate+that+the+CRML+detector+can+achieve+the+same+bit+error+rate+(BER)+performance+as+the+ML+detector+in+DFT-s-SEFDM+systems+at+reduced+computational+complexity.+Specifically%2C+compared+to+a+conventional+ML+detector%2C+it+is+shown+that+CRML+can+decrease+the+search+region+by+up+to+2%5E%7BM%7D+times+where+M+denotes+the+constellation+cardinality.+Depending+on+parameter+configuration%2C+CRML+can+offer+up+to+two+orders+of+magnitude+improvement+in+execution+runtime+performance.+CRML+is+best-suited+to+applications+with+small+system+sizes%2C+for+example%2C+in+narrowband+Internet+of+Things+(NB-IoT)+networks.&rft.subject=SEFDM%2C+DFT-s-SEFDM%2C+BER%2C+maximum-likelihood+(ML)%2C+reduced+complexity+detector%2C+NB-IoT&rft.publisher=IEEE&rft.date=2019-11-18&rft.type=Proceedings+paper&rft.publisher=2019+27th+European+Signal+Processing+Conference+(EUSIPCO)&rft.language=eng&rft.source=+++++In%3A++Proceedings+of+the+27th+European+Signal+Processing+Conference+(EUSIPCO).++++IEEE+(2019)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10086611%2F1%2FEUSIPCO2019_FinalVersion.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10086611%2F&rft.rights=open