{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T13:16:33Z","timestamp":1753881393394,"version":"3.41.2"},"reference-count":42,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2018,9,2]],"date-time":"2018-09-02T00:00:00Z","timestamp":1535846400000},"content-version":"vor","delay-in-days":244,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Wireless Communications and Mobile Computing"],"published-print":{"date-parts":[[2018,1]]},"abstract":"<jats:p>In the last years, the video content consumed by mobile users has increased exponentially. Since mobile network capacity cannot be increased as fast as required, it is crucial to develop intelligent schedulers that allocate radio resources very efficiently and are able to provide a high Quality of Experience (QoE) to most of the users. This paper proposes a new and effective scheduling solution\u2014the Maximum Buffer Filling (MBF) algorithm\u2014which aims to increase the number of satisfied users in video streaming services provided by wireless networks. The MBF algorithm uses the current buffer level at the client side and the radio channel conditions, which are reported to the network by the client, as well as the bitrate of the requested video segment. The proposed scheduling strategy can also fulfill different satisfaction criteria, since it can be tuned to maximize the numbers of users with high QoE levels or to minimize the number of users with low QoE levels. A simulation framework was developed, considering a Long Term Evolution (LTE) scenario, in order to assess the performance of the proposed scheduling scheme and to compare it with other well\u2010known scheduling solutions. The results show the superior performance achieved by the proposed technique, in terms of the number of satisfied and unsatisfied users.<\/jats:p>","DOI":"10.1155\/2018\/9736360","type":"journal-article","created":{"date-parts":[[2018,9,2]],"date-time":"2018-09-02T23:36:13Z","timestamp":1535931373000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["QoE\u2010Aware Scheduling Algorithm for Adaptive HTTP Video Delivery in Wireless Networks"],"prefix":"10.1155","volume":"2018","author":[{"given":"Frederico","family":"Rodrigues","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7208-4598","authenticated-orcid":false,"given":"Ivo","family":"Sousa","sequence":"additional","affiliation":[]},{"given":"Maria Paula","family":"Queluz","sequence":"additional","affiliation":[]},{"given":"Ant\u00f3nio","family":"Rodrigues","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2018,9,2]]},"reference":[{"key":"e_1_2_11_1_2","unstructured":"CISCO Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update 2015-2020 White Paper CISCO White Papers February 2016."},{"key":"e_1_2_11_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2012.2220231"},{"key":"e_1_2_11_3_2","doi-asserted-by":"crossref","unstructured":"GhadiyaramD. BovikA. C. YeganehH. KordasiewiczR. andGallantM. Study of the effects of stalling events on the quality of experience of mobile streaming videos Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing GlobalSIP \u203214 2014 989\u2013993 2-s2.0-84949926457.","DOI":"10.1109\/GlobalSIP.2014.7032269"},{"key":"e_1_2_11_4_2","unstructured":"ISO Information technology \u2013 Dynamic adaptive streaming over HTTP (DASH) \u2013 Part 1: Media presentation description and segment formats ISO\/IEC 23009-1:2014 May 2014."},{"key":"e_1_2_11_5_2","unstructured":"3GPP Transparent end-to-end Packet-switched Streaming Service (PSS); Progressive Download and Dynamic Adaptive Streaming over HTTP (3GP-DASH) 3GPP TS 26.247 (v. 15.2.0) March 2018."},{"key":"e_1_2_11_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2011.71"},{"key":"e_1_2_11_7_2","unstructured":"Brunnstr\u00f6mK. BekerS. A. MoorK. D.et al. Qualinet White Paper on Definitions of Quality of Experience Output from the 5th Qualinet meeting (v. 1.2) March 2013."},{"key":"e_1_2_11_8_2","unstructured":"ITU Mean opinion score (MOS) terminology ITU-T Recommendation P.800.1 February 2016."},{"key":"e_1_2_11_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2011.01.005"},{"key":"e_1_2_11_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/tbc.2011.2104671"},{"key":"e_1_2_11_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2014.2363139"},{"key":"e_1_2_11_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2015.2401424"},{"key":"e_1_2_11_13_2","doi-asserted-by":"crossref","unstructured":"MokR. K. P. ChanE. W. W. andChangR. K. C. Measuring the quality of experience of HTTP video streaming Proceedings of the 12th IFIP\/IEEE International Symposium on Integrated Network Management IM \u203211 2011 485\u2013492 2-s2.0-80052760423.","DOI":"10.1109\/INM.2011.5990550"},{"key":"e_1_2_11_14_2","unstructured":"VriendtJ. D. VleeschauwerD. D. andRobinsonD. Model for estimating QoE of video delivered using HTTP adaptive streaming Proceedings of the 2013 IFIP\/IEEE International Symposium on Integrated Network Management IM \u203213 2013 1288\u20131293 2-s2.0-84883471278."},{"key":"e_1_2_11_15_2","doi-asserted-by":"publisher","DOI":"10.1080\/09540091.2014.885273"},{"key":"e_1_2_11_16_2","unstructured":"3GPP Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Physical layer procedures 3GPP TS 36.213 (v. 15.0.0) December 2017."},{"volume-title":"4G: LTE\/LTE-Advanced for Mobile Broadband","year":"2014","author":"Dahlman E.","key":"e_1_2_11_17_2"},{"key":"e_1_2_11_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2012.060912.00100"},{"key":"e_1_2_11_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/35.900644"},{"key":"e_1_2_11_20_2","doi-asserted-by":"crossref","unstructured":"RheeJ.-H. HoltzmanJ. M. andKimD.-K. Scheduling of real\/non-real time services: adaptive EXP\/PF algorithm 1 Proceedings of the 57th IEEE Semiannual Vehicular Technology Conference (VTC 2003-Spring) 2003 462\u2013466 https:\/\/doi.org\/10.1109\/VETECS.2003.1207583.","DOI":"10.1109\/VETECS.2003.1207583"},{"key":"e_1_2_11_21_2","unstructured":"WamserF. StaehleD. ProkopecJ. MaederA. andTran-GiaP. Utilizing buffered YouTube playtime for QoE-oriented scheduling in OFDMA networks Proceedings of the 24th International Teletraffic Congress (ITC 24) 2012 2-s2.0-84869405910."},{"key":"e_1_2_11_22_2","doi-asserted-by":"crossref","unstructured":"PervezF.andRaheelM. S. Application-state aware scheduling for video delivery over LTE network Proceedings of the 9th International Conference on Telecommunication Systems Services and Applications TSSA \u203215 November 2015 2-s2.0-84966340440.","DOI":"10.1109\/TSSA.2015.7440448"},{"key":"e_1_2_11_23_2","doi-asserted-by":"crossref","unstructured":"LiuY. ZhuD. MaW. andQianL. A QoE-oriented scheduling scheme for HTTP streaming service in LTE system Proceedings of the 20th IEEE Symposium on Computers and Communication (ISCC \u203215) 2015 889\u2013894 https:\/\/doi.org\/10.1109\/ISCC.2015.7405626.","DOI":"10.1109\/ISCC.2015.7405626"},{"key":"e_1_2_11_24_2","doi-asserted-by":"crossref","unstructured":"JosephV.andde VecianaG. NOVA: QoE-driven optimization of DASH-based video delivery in networks Proceedings of the 33rd IEEE International Conference on Computer Communications (INFOCOM \u203214) 2014 82\u201390 https:\/\/doi.org\/10.1109\/INFOCOM.2014.6847927.","DOI":"10.1109\/INFOCOM.2014.6847927"},{"key":"e_1_2_11_25_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2014.2331963"},{"key":"e_1_2_11_26_2","doi-asserted-by":"crossref","unstructured":"SinghS. OymanO. PapathanassiouA. ChatterjeeD. andAndrewsJ. G. Video capacity and QoE enhancements over LTE Proceedings of the 2012 IEEE International Conference on Communications ICC \u203212 2012 7071\u20137076 2-s2.0-84871972741.","DOI":"10.1109\/ICC.2012.6364806"},{"key":"e_1_2_11_27_2","doi-asserted-by":"crossref","unstructured":"RamamurthiV.andOymanO. Video-QoE aware radio resource allocation for HTTP adaptive streaming Proceedings of the 2014 IEEE International Conference on Communications ICC \u203214 2014 1076\u20131081 2-s2.0-84907001137.","DOI":"10.1109\/ICC.2014.6883464"},{"key":"e_1_2_11_28_2","doi-asserted-by":"crossref","unstructured":"PuW. ZouZ. andChenC. W. Video adaptation proxy for wireless dynamic adaptive streaming over HTTP Proceedings of the 19th International Packet Video Workshop (PV \u203212) 2012 65\u201370 2-s2.0-84864510229.","DOI":"10.1109\/PV.2012.6229745"},{"key":"e_1_2_11_29_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2014.2367355"},{"key":"e_1_2_11_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2014.2357094"},{"key":"e_1_2_11_31_2","doi-asserted-by":"crossref","unstructured":"KimW. ParkK. andSongH. QoE-based interworking call admission handoff and packet scheduling system for multimedia streaming services over LTE network Proceedings of the 24th International Conference on Computer Communications and Networks ICCCN \u203215 2015 2-s2.0-84959377993.","DOI":"10.1109\/ICCCN.2015.7288454"},{"key":"e_1_2_11_32_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2441002"},{"key":"e_1_2_11_33_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2014.2355255"},{"volume-title":"A Simulator of Scheduling Algorithms in LTE","year":"2018","author":"Rodrigues F.","key":"e_1_2_11_34_2"},{"key":"e_1_2_11_35_2","doi-asserted-by":"crossref","unstructured":"FajardoJ. O. TaboadaI. andLiberalF. Analysis of CQI traces from LTE MIMO deployments and impact on classical schedulers Proceedings of the 13rd International Conference on Wired\/Wireless Internet Communications (WWIC \u203215) 2015 60\u201373.","DOI":"10.1007\/978-3-319-22572-2_5"},{"key":"e_1_2_11_36_2","doi-asserted-by":"crossref","unstructured":"VirdisA. SteaG. andNardiniG. SimuLTE - A modular system-level simulator for LTE\/LTE-A networks based on OMNeT++ Proceedings of the 4th International Conference on Simulation and Modeling Methodologies Technologies and Applications (SIMULTECH \u203214) 2014 59\u201370 2-s2.0-84990938524.","DOI":"10.5220\/0005040000590070"},{"key":"e_1_2_11_37_2","doi-asserted-by":"crossref","unstructured":"VargaA.andHornigR. An overview of the OMNeT++ simulation environment Proceedings of the 1st International ICST Conference on Simulation Tools and Techniques for Communications Networks and Systems (SIMUTools \u203208) 2008 1\u201310 https:\/\/doi.org\/10.4108\/icst.simutools2008.3027 2-s2.0-84923272193.","DOI":"10.4108\/ICST.SIMUTOOLS2008.3027"},{"key":"e_1_2_11_38_2","doi-asserted-by":"publisher","DOI":"10.5070\/D3231033669"},{"key":"e_1_2_11_39_2","unstructured":"RekhiP. K. LuthraM. MalikS. andAtriR. Throughput Calculation for LTE TDD and FDD Systems White Paper December 2012."},{"key":"e_1_2_11_40_2","doi-asserted-by":"crossref","unstructured":"SuhD. JangI. andPackS. QoE-enhanced adaptation algorithm over DASH for multimedia streaming Proceedings of the International Conference on Information Networking ICOIN \u203214 2014 497\u2013501 2-s2.0-84899920927.","DOI":"10.1109\/ICOIN.2014.6799731"},{"key":"e_1_2_11_41_2","doi-asserted-by":"crossref","unstructured":"LedererS. M\u00fcllerC. andTimmererC. Dynamic adaptive streaming over HTTP dataset Proceedings of the 3rd ACM Multimedia Systems Conference (MMSys\u203212) 2012 89\u201394 2-s2.0-84858781788.","DOI":"10.1145\/2155555.2155570"},{"key":"e_1_2_11_42_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-011-5014-9_7"}],"container-title":["Wireless Communications and Mobile Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/wcmc\/2018\/9736360.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/wcmc\/2018\/9736360.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2018\/9736360","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,6]],"date-time":"2025-07-06T19:49:39Z","timestamp":1751831379000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2018\/9736360"}},"subtitle":[],"editor":[{"given":"Mauro","family":"Femminella","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2018,1]]},"references-count":42,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,1]]}},"alternative-id":["10.1155\/2018\/9736360"],"URL":"https:\/\/doi.org\/10.1155\/2018\/9736360","archive":["Portico"],"relation":{},"ISSN":["1530-8669","1530-8677"],"issn-type":[{"type":"print","value":"1530-8669"},{"type":"electronic","value":"1530-8677"}],"subject":[],"published":{"date-parts":[[2018,1]]},"assertion":[{"value":"2018-04-13","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-08-13","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-09-02","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"9736360"}}