TY - JOUR
T1 - Load balancing and qos provisioning based on congestion prediction for GEO/LEO hybrid satellite networks
AU - Nishiyama, Hiroki
AU - Kudoh, Daigo
AU - Kato, Nei
AU - Kadowaki, Naoto
N1 - Funding Information:
Dr. Kato currently serves as Chair of the IEEE Satellite and Space Communications Technical Committee and Chair of the IEICE Satellite Communications Technical Committee. His awards include Minoru Ishida Foundation Research Encouragement Prize (2003), Distinguished Contributions to Satellite Communications Award from the IEEE Communications Society, Satellite and Space Communications Technical Committee (2005), the FUNAI information Science Award (2007), the TELCOM System Technology Award from the Foundation for Electrical Communications Diffusion (2008), the IEICE Network System Research Award (2009), and many best paper awards including IEEE GLOBECOM. Besides his academic activities, he also serves on the expert committee of Telecommunications Council, Telecommunications Business Dispute Settlement Commission Special Commissioner, Ministry of Internal Affairs and Communications, Japan, and as Chairperson of ITU-R SG4, SG7, Japan.
Funding Information:
Hiroki Nishiyama (Member, IEEE) received the M.S. and Ph.D. degree in information science from Tohoku University, Sendai, Japan, in 2007 and 2008, respectively. He was a Research Fellow of the Japan Society for the Promotion of Science (JSPS) until finishing his Ph.D. He then went on to become an Assistant Professor at the Graduate School of Information Sciences, Tohoku University. His active areas of research include traffic engineering, congestion control, satellite communications, ad hoc and sensor networks, and network security.
PY - 2011/11
Y1 - 2011/11
N2 - While GEostationary Orbit (GEO) satellite systems provide us with a wide coverage area, their long delay serves as a significant constraint for real-time applications. On the other hand, Low Earth Orbit (LEO) satellite systems are best suited to delay sensitive applications. However, the coverage and mobility issues of LEO satellites lead to relatively high management costs. In this paper, we devise a new load balancing and quality of service (QoS) provisioning scheme to accommodate both real-time and non-real-time traffic based on a new congestion-prediction scheme. The effect of this new scheme is expected to improve the efficiency of the GEO/LEO hybrid satellite networks and the QoS satisfaction of end users.
AB - While GEostationary Orbit (GEO) satellite systems provide us with a wide coverage area, their long delay serves as a significant constraint for real-time applications. On the other hand, Low Earth Orbit (LEO) satellite systems are best suited to delay sensitive applications. However, the coverage and mobility issues of LEO satellites lead to relatively high management costs. In this paper, we devise a new load balancing and quality of service (QoS) provisioning scheme to accommodate both real-time and non-real-time traffic based on a new congestion-prediction scheme. The effect of this new scheme is expected to improve the efficiency of the GEO/LEO hybrid satellite networks and the QoS satisfaction of end users.
KW - Congestion prediction
KW - load balancing
KW - quality of service (QoS)
KW - satellite communication
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U2 - 10.1109/JPROC.2011.2157885
DO - 10.1109/JPROC.2011.2157885
M3 - Article
AN - SCOPUS:80055010238
VL - 99
SP - 1998
EP - 2007
JO - Proceedings of the Institute of Radio Engineers
JF - Proceedings of the Institute of Radio Engineers
SN - 0018-9219
IS - 11
M1 - 5934692
ER -