Abstract
Long Term Evolution (LTE) is a cellular technology developed to support
diversity of data traffic at potentially high rates. It is foreseen to extend the
capacity and improve the performance of current 3G cellular networks. A key
mechanism in the LTE traffic handling is the packet scheduler, which is in charge
of allocating resources to active flows in both the frequency and time dimension.
In this paper we present a performance comparison of two distinct scheduling
schemes for LTE uplink (fair fixed assignment and fair work-conserving) taking
into account both packet level characteristics and flow level dynamics due
to the random user behaviour. For that purpose, we apply a combined analytical/
simulation approach which enables fast evaluation of performance measures
such as mean flow transfer times manifesting the impact of resource allocation
strategies. The results show that the resource allocation strategy has a crucial
impact on performance and that some trends are observed only if flow level dynamics
are considered.
Original language | English |
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Title of host publication | Fourth ERCIM Workshop on E-mobility |
Subtitle of host publication | Luleå University of Technology, Luleå, Sweden May 31, 2010 |
Editors | Marc Brogle, Evgeny Osipov, Gerhard J. Heijenk |
Place of Publication | Luleå, Sweden |
Publisher | Lulea University of Technology |
Pages | 15-26 |
Number of pages | 12 |
ISBN (Print) | 978-91-7439-103-9 |
Publication status | Published - May 2010 |
Event | 4th ERCIM Workshop on eMobility 2010 - Luleå University of Technology, Luleå, Sweden Duration: 31 May 2010 → 31 May 2010 Conference number: 4 |
Workshop
Workshop | 4th ERCIM Workshop on eMobility 2010 |
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Country/Territory | Sweden |
City | Luleå |
Period | 31/05/10 → 31/05/10 |