liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Implicit Channel Allocation in GSM/EDGE radio networks
Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Efficient channel allocation in GSM communication is difficult and believed to be a performance bottleneck. This thesis is dedicated to studying the performance of GSM/EDGE networks in modern usage scenarios (surfing the web, chatting and streaming services) under the assumption that explicit channel allocation is not needed.

Users are able to be (re-)allocated at any time without explicit signaling and the typically associated delay. The radio hardware of these users is identical to that of typically used devices and the theoretical peak performance is not affected. This allows the network to use the radio channels in a more efficiently way and the delays from signaling are reduced or eliminated.

The thesis studies this problem by statistically modeling such usage scenarios and the resulting channel utilization patterns. The study finds that the latency can be reduced by 40-70% for typical radio hardware, and that network throughput can be improved by up to 20%. However, further studies are needed on the subject.

Place, publisher, year, edition, pages
2012. , 57 p.
Keyword [en]
GSM, EDGE, GPRS packet scheduling, channel allocation, implicit channel allocation, ICA
National Category
URN: urn:nbn:se:liu:diva-86157ISRN: LIU-IDA/LITH-EX-A—12/067—SEOAI: diva2:576436
Subject / course
Computer and information science at the Institute of Technology
2012-11-30, Donald Knuth, B-Huset Linköpings universitet, Linköping, 15:15 (English)
Available from: 2012-12-19 Created: 2012-12-08 Last updated: 2012-12-19Bibliographically approved

Open Access in DiVA

leiviskae2012ica(858 kB)94 downloads
File information
File name FULLTEXT02.pdfFile size 858 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Leiviskä, Emily
By organisation
Department of Computer and Information ScienceThe Institute of Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 94 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 165 hits
ReferencesLink to record
Permanent link

Direct link