Abstract
As the traffic distribution in China mainland is far from uniform, a new traffic model in China mainland is presented on the basis of per-capita Gross Domestic Product (GDP) and density of population. Based on this characteristic traffic model, a new Traffic Dependent Dynamic Channel Allocation and Reservation (TDDCAR) technique is proposed, the simulation model is built, and the strategies’ performance is evaluated through computer simulation. The simulation results show that, compared to the conventional Fixed Channel Allocation (FCA), TDDCAR estimates the traffic conditions in every spot beam and frequently adjusts the traffic according to current traffic conditions. It has achieved a significant improvement in new call blocking probability, handover blocking probability, and fair index, particularly, in heavy traffic conditions. The building of traffic model in China mainland and the analysis of the simulation results has been a key foundation for the study of resource allocation schemes in the future.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
A. Aroumont, J. Radzik, L. Castanet, and M. Bousquet. Channel and traffic based adaptive radio resource management strategies for the return link of Ka/Q/V band satellite systems employing fade mitigation techniques. International Workshop on Satellite and Space Communication, Salzburg, Austria, September 2007, 185–188.
Yu Jia and Zong Peng. The analysis and simulation of communication network in Iridium system based on OPNET. IEEE International Conference on Information Management and Engineering, Chengdu, China, April 2010, 68–72.
L. S. Zhang, R. E. Sheriff, and Y. F Hu. Simulation of traffic characteristics of non-geostationary satellite systems. Communication Technology Proceedings, Bejing, China, May 5–7, 1996, 285–288.
J. Galtier. Real-time resource allocation for LEO satellite constellations. Wireless Networks, 15(2009)6, 791–803.
Yim Fun Hu and R. E. Sheriff. Satellite-UMTS traffic dimensioning and resource management technique analysis. IEEE Transactions on Vehicular Technology, 47(1998)2, 1329–1341.
S. Karapantazis, P. Todorova, and F. N. Pavlidou. On call admission control and handover management in multimedia LEO satellite systems. Proceedings of the 23rd AIAA International Communication Satellite Systems Conference, Rome, Italy, 2005, Vol. 1, 10–15.
Zhipeng Wang. On the performance analysis of dynamic channel allocation with FIFO handover queuing in LEO-MSS. IEEE Transactions on Communications, 53(2005)9, 1443–1448.
Dong Qijia, Zhang Jun, Zhang Tao, and Qin Yong. Resource allocation strategies in MF-TDMA satellite systems. Acta Aeronautica et Astronautica Sinica, 30(2009)9, 1718–1726 (in Chinese). 董启甲, 张军, 张涛, 秦勇. 高效系统时分配策略. 航空学报, 30(2009)9, 1718–1726.
Wang Xuan, Zong Peng, and Yu Jia. Link analyzing and simulation of TDRSS based on OPNET. Proceedings of International Conference on Communications and Mobile Computing, Shenzhen, China, April 2010, 481–485.
Lili Zhu and Yifeng Duan. Research on the resource allocation model for the satellite constellation communication system. Advanced Materials Research, 121–122(2010), 669–677.
Author information
Authors and Affiliations
Corresponding author
About this article
Cite this article
Yu, J., Zong, P. Dynamic resource allocation scheme under traffic condition in satellite systems. J. Electron.(China) 29, 46–55 (2012). https://doi.org/10.1007/s11767-012-0709-y
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11767-012-0709-y
Key words
- Dynamic channel allocation
- Traffic model
- Gross Domestic Product (GDP)
- Density of population
- Channel utilization