Integrated adaptive approach for reliable multicast transmission over geostationary satellite networks
Multiple retransmission passes, in order to ensure bit-perfect reliability in multicast transmission, results in lower resource utilization and higher session delay. Hence, an integrated adaptive transmission via the use of a cross-layer strategy is proposed in this paper in order to increase forwar...
Main Authors: | , , , |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
IEEE
2009
|
Online Access: | http://psasir.upm.edu.my/id/eprint/48068/1/Integrated%20adaptive%20approach%20for%20reliable%20multicast%20transmission%20over%20geostationary%20satellite%20networks.pdf |
_version_ | 1825929928895365120 |
---|---|
author | Sali, Aduwati Abdul Karim, Hezerul Acar, Guray Evans, Barry G. |
author_facet | Sali, Aduwati Abdul Karim, Hezerul Acar, Guray Evans, Barry G. |
author_sort | Sali, Aduwati |
collection | UPM |
description | Multiple retransmission passes, in order to ensure bit-perfect reliability in multicast transmission, results in lower resource utilization and higher session delay. Hence, an integrated adaptive transmission via the use of a cross-layer strategy is proposed in this paper in order to increase forward and return link resource utilization. Specifically, the integration of Channel State Information (CSI) collection policies in the uplink and Channel-Aware Scheduling (CAS) in the downlink is proposed in the face of fluctuating channel conditions observed by multicast terminals. The integration approach can be mathematically represented by suppression error due to the way CSI is collected and suppressed in the return link. Particularly, the suppression error occurs since only a subset of users update their CSI values at any CSI collection instant. In relation to the analytical representation of the suppression error, the performance parameters are then verified via simulation results. From the comparison, it was found that the simulation and analytical results approach agreement at large numbers of terminals. This observation suits the multicast transmission over satellite networks which expect large numbers of terminals over wide coverage. |
first_indexed | 2024-03-06T09:03:56Z |
format | Conference or Workshop Item |
id | upm.eprints-48068 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T09:03:56Z |
publishDate | 2009 |
publisher | IEEE |
record_format | dspace |
spelling | upm.eprints-480682020-07-09T00:53:13Z http://psasir.upm.edu.my/id/eprint/48068/ Integrated adaptive approach for reliable multicast transmission over geostationary satellite networks Sali, Aduwati Abdul Karim, Hezerul Acar, Guray Evans, Barry G. Multiple retransmission passes, in order to ensure bit-perfect reliability in multicast transmission, results in lower resource utilization and higher session delay. Hence, an integrated adaptive transmission via the use of a cross-layer strategy is proposed in this paper in order to increase forward and return link resource utilization. Specifically, the integration of Channel State Information (CSI) collection policies in the uplink and Channel-Aware Scheduling (CAS) in the downlink is proposed in the face of fluctuating channel conditions observed by multicast terminals. The integration approach can be mathematically represented by suppression error due to the way CSI is collected and suppressed in the return link. Particularly, the suppression error occurs since only a subset of users update their CSI values at any CSI collection instant. In relation to the analytical representation of the suppression error, the performance parameters are then verified via simulation results. From the comparison, it was found that the simulation and analytical results approach agreement at large numbers of terminals. This observation suits the multicast transmission over satellite networks which expect large numbers of terminals over wide coverage. IEEE 2009 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/48068/1/Integrated%20adaptive%20approach%20for%20reliable%20multicast%20transmission%20over%20geostationary%20satellite%20networks.pdf Sali, Aduwati and Abdul Karim, Hezerul and Acar, Guray and Evans, Barry G. (2009) Integrated adaptive approach for reliable multicast transmission over geostationary satellite networks. In: 2009 International Conference on Space Science and Communication (IconSpace), 26-27 Oct. 2009, Port Dickson, Negeri Sembilan. (pp. 35-40). 10.1109/ICONSPACE.2009.5352673 |
spellingShingle | Sali, Aduwati Abdul Karim, Hezerul Acar, Guray Evans, Barry G. Integrated adaptive approach for reliable multicast transmission over geostationary satellite networks |
title | Integrated adaptive approach for reliable multicast transmission over geostationary satellite networks |
title_full | Integrated adaptive approach for reliable multicast transmission over geostationary satellite networks |
title_fullStr | Integrated adaptive approach for reliable multicast transmission over geostationary satellite networks |
title_full_unstemmed | Integrated adaptive approach for reliable multicast transmission over geostationary satellite networks |
title_short | Integrated adaptive approach for reliable multicast transmission over geostationary satellite networks |
title_sort | integrated adaptive approach for reliable multicast transmission over geostationary satellite networks |
url | http://psasir.upm.edu.my/id/eprint/48068/1/Integrated%20adaptive%20approach%20for%20reliable%20multicast%20transmission%20over%20geostationary%20satellite%20networks.pdf |
work_keys_str_mv | AT saliaduwati integratedadaptiveapproachforreliablemulticasttransmissionovergeostationarysatellitenetworks AT abdulkarimhezerul integratedadaptiveapproachforreliablemulticasttransmissionovergeostationarysatellitenetworks AT acarguray integratedadaptiveapproachforreliablemulticasttransmissionovergeostationarysatellitenetworks AT evansbarryg integratedadaptiveapproachforreliablemulticasttransmissionovergeostationarysatellitenetworks |