Optimized service aware LTE MAC scheduler with comparison against other well known schedulers

Nikola Zahariev, Yasir Zaki, Xi Li, Carmelita Goerg, Thushara Weerawardane, Andreas Timm-Giel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Long Term Evolution (LTE) is the latest deployed broadband wireless technology from the 3 rd Generation Partner Ship Project (3GPP) family. Nowadays there is an increased demand on the QoS requirements and inherently on further optimizing the usage of not only the scarce radio resources but also the overall network performance over the flat IP network more efficiently. Traditional scheduling algorithms are not able to fulfill such complex requirements. In this paper an Optimized Service Aware (OSA) scheduling algorithm is proposed, aiming at addressing the aforementioned challenges. It consists of three main functional units. The paper presents through simulations that the proposed OSA algorithm is able to achieve optimum radio and end user performance. The performance of the OSA is compared against other well-known scheduling algorithms: Weighted Blind-Equal Throughput (w-BET), Weighted Maximum Throughput (w-MaxT), and Weighted Proportional Fair (w-PF).

Original languageEnglish (US)
Title of host publicationWired/Wireless Internet Communication - 10th International Conference, WWIC 2012, Proceedings
Pages323-331
Number of pages9
DOIs
StatePublished - 2012
Event10th International Conference on Wired / Wireless Internet Communications, WWIC 2012 - Santorini, Greece
Duration: Jun 6 2012Jun 8 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7277 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th International Conference on Wired / Wireless Internet Communications, WWIC 2012
Country/TerritoryGreece
CitySantorini
Period6/6/126/8/12

Keywords

  • LTE
  • OSA
  • Radio Resource Management
  • Scheduling

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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