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.
|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|
|Number of pages||12|
|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||4th ERCIM Workshop on eMobility 2010|
|Period||31/05/10 → 31/05/10|
Dimitrova, D. C., van den Berg, H., Litjens, R., & Heijenk, G. (2010). Scheduling strategies for LTE uplink with flow behaviour analysis. In M. Brogle, E. Osipov, & G. J. Heijenk (Eds.), Fourth ERCIM Workshop on E-mobility: Luleå University of Technology, Luleå, Sweden May 31, 2010 (pp. 15-26). Luleå, Sweden: Lulea University of Technology.