Simulation analyses of weighted fair bandwidth-on-demand (WFBoD) process for broadband multimedia geostationary satellite systems

Advanced resource management schemes are required for broadband multimedia satellite networks to provide efficient and fair resource allocation while delivering guaranteed quality of service (QoS) to a potentially very large number of users. Such resource management schemes must provide well-defined service segregation to the different traffic flows of the satellite network, and they must be integrated with some connection admission control (CAC) process at least for the flows requiring QoS guarantees. Weighted fair bandwidth-on-demand (WFBoD) is a resource management process for broadband multimedia geostationary (GEO) satellite systems that provides fair and efficient resource allocation coupled with a well-defined MAC-level QoS framework (compatible with ATM and IP QoS frameworks) and a multi-level service segregation to a large number of users with diverse characteristics. WFBoD is also integrated with the CAC process. In this paper, we analyse via extensive simulations the WFBoD process in a bent-pipe satellite network. Our results show that WFBoD can be used to provide guaranteed QoS for both non-real-time and real-time variable bit rate (VBR) flows. Our results also show how to choose the main parameters of the WFBoD process depending on the system parameters and on the traffic characteristics of the flows. Copyright © 2005 John Wiley & Sons, Ltd.

[1]  Catherine Rosenberg,et al.  Weighted fair bandwidth-on-demand (WFBoD) for geostationary satellite networks with on-board processing , 2002, Comput. Networks.

[2]  George Kesidis,et al.  A framework for ATM via satellite , 1996, Proceedings of GLOBECOM'96. 1996 IEEE Global Telecommunications Conference.

[3]  T. Le-Ngoc,et al.  Performance of combined free/demand assignment multi-access (CFDAMA) protocol with pre-assigned request slots in integrated voice/data satellite communications , 1995, Proceedings IEEE International Conference on Communications ICC '95.

[4]  Ian F. Akyildiz,et al.  Satellite ATM networks: a survey , 1997 .

[5]  Catherine Rosenberg,et al.  Providing IP QoS over GEO satellite systems using MPLS , 2001, Int. J. Satell. Commun. Netw..

[6]  Yun-Qing Shi,et al.  Modeling VBR video traffic by Markov-modulated self-similar processes , 1999, 1999 IEEE Third Workshop on Multimedia Signal Processing (Cat. No.99TH8451).

[7]  Hassan Peyravi,et al.  Medium access control protocols performance in satellite communications , 1999, IEEE Commun. Mag..

[8]  Tao Yang,et al.  A novel approach to estimating the cell loss probability in an ATM multiplexer loaded with homogeneous on-off sources , 1995, IEEE Trans. Commun..

[9]  Walter Willinger,et al.  On the self-similar nature of Ethernet traffic , 1993, SIGCOMM '93.

[10]  Antonio Iera,et al.  A MAC protocol for ATM-satellite systems , 1999, Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324).

[11]  Zhili Sun,et al.  Analysis of a MAC protocol to guarantee QoS for ATM over satellite , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

[12]  W. M. Shvodian Multiple priority distributed round robin MAC protocol for satellite ATM , 1998, IEEE Military Communications Conference. Proceedings. MILCOM 98 (Cat. No.98CH36201).

[13]  B. Melamed,et al.  Traffic modeling for telecommunications networks , 1994, IEEE Communications Magazine.