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                          <header>
                              <identifier>oai:research.chalmers.se:245687</identifier>
                              <datestamp>2018-09-06T15:27:23Z</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>LAPRA: Location-aware Proactive Resource Allocation</dc:title>
                                  <dc:identifier>https://research.chalmers.se/en/publication/245687</dc:identifier>
                                  <dc:date>2016</dc:date>
                                              <dc:creator>Muppirisetty, Srikar</dc:creator>
                                              <dc:creator>Yiu, Simon</dc:creator>
                                              <dc:creator>Wymeersch, Henk</dc:creator>
                                                  <dc:subject>Electrical Engineering, Electronic Engineering, Information Engineering</dc:subject>
                                          <dc:description>Today’s indoor wireless networks employ reactiveresource allocation methods to provide fair and efficient usage of the communication system. However, their reactive nature limits the quality of service (QoS) that can be offered to the user locations within the environment. In large crowded areas (airports, conferences), networks can get congested and users may suffer from poor QoS. To mitigate this, we propose and evaluate a location-aware user-centric proactive resource allocation  approach (LAPRA), in which the users are proactive and seek good channel quality by moving to locations where the signal quality is good. As a result, the users and their locations are optimized to improve the overall QoS. We demonstrate that the proposed proactive approach enhances the user QoS and improves network throughput of the system.</dc:description>
                                                                  <dc:relation>info:eu-repo/grantAgreement/EC/FP7/258418//Cooperative Situational Awareness for Wireless Networks (COOPNET)/</dc:relation>
                                                  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1109/GLOCOM.2016.7841946</dc:relation>
                                          <dc:type>info:eu-repo/semantics/article</dc:type>
                                          <dc:source>2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings</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>