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                          <header>
                              <identifier>oai:research.chalmers.se:507280</identifier>
                              <datestamp>2019-01-09T14:33:58Z</datestamp>
                              <setSpec>openaire</setSpec>
                          </header>
                          <metadata>
                              <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
                                  <dc:title>Impact of Imperfect Beam Alignment on the Rate-Positioning Trade-Off</dc:title>
                                  <dc:identifier>https://research.chalmers.se/en/publication/93cc1afd-06fa-4dde-ae85-e57ef5b82d4f</dc:identifier>
                                  <dc:date>2018</dc:date>
                                              <dc:creator>Destino, Giuseppe</dc:creator>
                                              <dc:creator>Saloranta, Jani</dc:creator>
                                              <dc:creator>Wymeersch, Henk</dc:creator>
                                              <dc:creator>Granados, Gonzalo-Seco</dc:creator>
                                                  <dc:subject>Accelerator Physics and Instrumentation</dc:subject>
                                                  <dc:subject>Communication Systems</dc:subject>
                                                  <dc:subject>Signal Processing</dc:subject>
                                          <dc:description>We consider the beam-training procedure in the future 5G millimeter-wave systems and collect position information based on the received signals. We analyze the degradation due to beam misalignment on the achievable rate and on the amount of information available for positioning. We evaluate the performance of two beam-training strategies, namely, exhaustive and hierarchical. Our results reveal new insights on the trade-off between positioning and communication performance.</dc:description>
                                                                  <dc:relation>info:eu-repo/grantAgreement/636537-HIGHTS-RIA//High precision positioning for cooperative ITS applications/</dc:relation>
                                                                  <dc:relation>info:eu-repo/grantAgreement/5GCAR//Fifth Generation Communication Automotive Research and innovation (5GCAR)/</dc:relation>
                                                  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1109/WCNC.2018.8377452</dc:relation>
                                          <dc:type>info:eu-repo/semantics/article</dc:type>
                                          <dc:source>2018 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) (1525-3511)</dc:source>
                                                      <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:language>eng</dc:language>
                                  <dc:audience>Researchers</dc:audience>
                                  <dc:format>application/pdf</dc:format>
                              </oai_dc:dc>
                          </metadata>
                      </record>