?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Vehicle-Mounted+Intelligent+Surface+for+Cooperative+Localization+in+Cellular+Networks&rft.creator=Meng%2C+K&rft.creator=Wu%2C+Q&rft.creator=Chen%2C+W&rft.creator=Li%2C+D&rft.description=Due+to+the+continuous+increase+in+the+communication+frequency+band+of+the+sixth-generation+(6G)+wireless+communication+network%2C+it+can+potentially+provide+positioning+services+for+applications+such+as+intelligent+transportation.+However%2C+limited+radar+cross+sections+of+vehicles+may+result+in+too+weak+echo+signals+and+incorrect+measurement+associations%2C+especially+for+base+stations+(BSs)+with+low+transmit+power.+To+tackle+this+issue%2C+we+propose+a+novel+cooperative+localization+scheme+in+cellular+networks%2C+where+the+controllable+signal+reflection+capabilities+of+intelligent+reflecting+surfaces+(IRSs)+are+utilized+to+facilitate+target+association.+Specifically%2C+IRSs+are+mounted+on+the+vehicles+to+enhance+the+echo+signals+towards+the+associated+BS+while+reducing+interference+with+other+BSs.+We+aim+to+minimize+the+maximum+Cramer-Rao+lower+bound+(CRLB)+of+location+errors+by+jointly+optimizing+target+association%2C+IRS+phase+shifts%2C+and+dwell+time.+However%2C+solving+this+CRLB+optimization+problem+is+non-trivial+due+to+the+non-convex+objective+function.+To+this+end%2C+we+transform+the+problem+for+single-vehicle+localization+into+a+monotonic+optimization+problem%2C+thereby+optimally+solving+it+through+the+Polyblock-based+algorithm.+For+multi-vehicle+localization%2C+we+propose+a+heuristic+algorithm+to+efficiently+optimize+the+target+association+and+dwell+time+allocation.+Finally%2C+our+simulation+results+verify+that+deploying+IRSs+on+vehicles+can+effectively+improve+the+resolution+ability+of+multi-vehicle+positioning+and+reduce+the+BS+number+requirements.&rft.publisher=IEEE&rft.date=2024-03-21&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A++2023+IEEE+Globecom+Workshops%2C+GC+Wkshps+2023.++(pp.+pp.+1904-1909).++IEEE%3A+Kuala+Lumpur%2C+Malaysia.+(2024)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10191309%2F1%2FDistributed%2520BS%2520for%2520IRS%2520Localization%2520-%2520conference.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10191309%2F&rft.rights=open