{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T13:43:30Z","timestamp":1777902210971,"version":"3.51.4"},"reference-count":35,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2011,6,13]],"date-time":"2011-06-13T00:00:00Z","timestamp":1307923200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["SIMULATION"],"published-print":{"date-parts":[[2012,4]]},"abstract":"<jats:p>We present a hybrid modeling framework with interacting simulative and analytic submodels for the efficient evaluation of common radio resource management (CRRM). It enables a cost\u2013benefit investigation of different CRRM algorithms and architectures. Centralized as well as decentralized scenarios can be clearly defined by five standard components, namely the radio access system, the environment, the user equipment, the CRRM information manager, and the CRRM decider. The costs and time consumption of CRRM operations are taken into account via chargeable messages. The clarity of the model enables an efficient investigation of CRRM algorithms based on optimization theory, game theory, physical models, and other methods. The resulting framework has been implemented as a hybrid simulation model using the discrete event simulation system OMNeT++. A convenient and straightforward integration of different wireless network technologies and user service demands is also supported; models for the universal mobile telecommunications system (UMTS) and the global system for mobile communications\/enhanced general packet radio service (GSM\/EGPRS) are already integrated. The scope of the proposed framework is demonstrated by the evaluation of realistic scenarios.<\/jats:p>","DOI":"10.1177\/0037549711403506","type":"journal-article","created":{"date-parts":[[2011,6,13]],"date-time":"2011-06-13T20:49:50Z","timestamp":1307998190000},"page":"481-501","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["A hybrid simulation framework for the evaluation of common radio resource management scenarios"],"prefix":"10.1177","volume":"88","author":[{"given":"Andreas","family":"Pillekeit","sequence":"first","affiliation":[{"name":"University of Duisburg-Essen, ICB, Research Group Systems Modelling, Germany."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bruno","family":"M\u00fcller-Clostermann","sequence":"additional","affiliation":[{"name":"University of Duisburg-Essen, ICB, Research Group Systems Modelling, Germany."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2011,6,13]]},"reference":[{"key":"bibr1-0037549711403506","volume-title":"Queueing systems \u2013 volume 1: Theory","author":"Kleinrock L","year":"1975"},{"key":"bibr2-0037549711403506","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2004.840243"},{"key":"bibr3-0037549711403506","volume-title":"Proceedings of the IEEE International Conference on Communications (ICC)","author":"T\u00f6lli A"},{"key":"bibr4-0037549711403506","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2007.29"},{"key":"bibr5-0037549711403506","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-006-0052-3"},{"key":"bibr6-0037549711403506","volume-title":"Proceedings of the 40th Annual Simulation Symposium (ANSS)","author":"Lincke SJ"},{"key":"bibr7-0037549711403506","doi-asserted-by":"publisher","DOI":"10.1155\/2007\/34378"},{"key":"bibr8-0037549711403506","volume-title":"Proceedings of the 60th IEEE Vehicular Technology Conference (VTC), Wireless Technologies for Global Security","author":"Pillekeit A"},{"key":"bibr9-0037549711403506","unstructured":"Bria A. Hybrid cellular-broadcasting infrastructure systems: radio resource management issues. 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