- Authors:
-
-
Nielsen, Jimmy Jessen
;
Close
0000-0001-6664-7198
Department of Electronic Systems, The Technical Faculty of IT and Design, Aalborg University -
Olsen, Rasmus Løvenstein
;
Close0000-0002-0815-5395
Department of Electronic Systems, The Technical Faculty of IT and Design, Aalborg University -
Madsen, Tatiana Kozlova
;
Close0000-0001-9299-9525
Department of Electronic Systems, The Technical Faculty of IT and Design, Aalborg University - Uguen, Bernard ;
-
Schwefel, Hans-Peter
Close0000-0003-3466-1686
Department of Electronic Systems, The Technical Faculty of IT and Design, Aalborg University
-
Nielsen, Jimmy Jessen
;
- DOI:
- 10.1109/CAMAD.2012.6335324
- Abstract:
- For WLAN systems in which relaying is exploited for improving throughput performance, node mobility and in- formation collection delays can have a significant impact on the performance of a relay selection scheme. This paper analyzes this influence on the decision process using a previously developed Markov Chain model for a realistic indoor scenario that is based on ray-tracing enriched measurements from the WHERE2 project. These results are furthermore compared to results obtained using an idealistic path loss model, and it is shown that the performance impact of node mobility and information collection delays is significantly different for the two data sets.
- ISBN:
- 9781467331234, 9781467331241
- Type:
- Conference paper
- Language:
- English
- Published in:
- Proceedings of 2012 Ieee 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (camad), 2012, p. 16-20
- Main Research Area:
- Science/technology
- Publication Status:
- Published
- Review type:
- Peer Review
- Conference:
- 17th IEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and NetworksIEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks, 2012
- Publisher:
- IEEE Press
- Submission year:
- 2012
- Scientific Level:
- Scientific
- ID:
- 232039277
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