Document Type : Research Paper

Authors

Department of Modern Science and Technology Engineering, University of Tehran, Tehran, Iran

Abstract

This paper aims to propose the interference and also investigates the channel effect on power allocation issue. Here, the particle swarm optimization (PSO) method is employed in order to find the optimal solution. Because of the value of resources in the satellite telecommunication systems, optimizing the use of power allocation is very important. In these systems, because of non-zero side lobe, there exists an interference between beams that affects the allocation problem. To assess the efficiency of PSO algorithm, the obtained results are compared with the Duality Theory. The analogy is conducted through three different scenarios: In the first scenario, it is supposed to have interference between each beam and the three adjacent beams. The second scenario assumes that the first beam interferes with other beams. Finally, in the third scenario, the analysis of channel conditions of each beam and its effect on the power allocation problem is provided. The objective functions for the proposed method are the total system capacity and sum of the square of difference between the requested traffic and the allocated beam power. The results indicate that the proposed algorithm improves the solution in each scenario and implements justice to the power allocation issue.  

Keywords

    [1]   Pérez-Neira, A. and Christopoulos, D., “Optimum Power and Beam Allocation Based on Trafic Demands and Channel Conditions over Satellite Downlinks,” IEEE Transactions on Wireless Communications, Vol. 4, No. 6, 2005, pp. 2983–2992.
    [2]     Wang, H., Liu, A. and Pan, X., “Optimization of Joint Power and Bandwidth Allocation in Multi-Spot-Beam Satellite Communication Systems,” Mathematical Problems in Engineering, Vol. 2014, Article ID 683604, 2014, 10 Pages.
    [3]    Wang, H., A. Liu, Pan and Jianfei Yang, “Optimization of Power Allocation for Multiusers in Multi-Spot-Beam Satellite Communication Systems,” Mathematical Problems in Engineering, 2014.
    [4]    Available: [on line], http://www.swarmintelligence.org
    [5]   Hong, Y. Srinivasan,, A., Cheng, B., Hartman, L. and Andreadis, P., “Optimal Power Allocation for Multiple Beam Satellite Systems,” Proceedings of the IEEE Radio and Wireless Symposium (RWS’08), 2008, pp. 823–826.
    [6]   Feng, Q. Li, G., Feng, S. and Gao, Q., “Optimum Power Allocation Based on Traffic Demand for Multi-Beam Satellite Communication Systems,” Proceedings of the 13th International Conference on Communication Technology (ICCT ’11), pp. 873–876, September 2011.
    [7]   Park, U., Kim, H.W., Oh, D.S. and Ku, B.J., “Optimum Selective Beam Allocation Scheme for Satellite Network with Multi-spot Beams,” Proceedings of the 4th International Conference on Advances in Satellite and Space Communications (SPACOMM’12), 2012, pp.78–81.
    [8]   Nakahira, K., Kobayashi, K. and Ueba, M., “Capacity and Quality Enhancement using an Adaptive Resource Allocation for Multi-Beam Mobile Satellite Communication Systems,” Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC ’06), April 2006, pp. 153–158.
    [9]    Lei, J. and ´azquez-Castro, M. A.V “Joint power and Carrier Allocation for the Multibeam Satellite Downlink with Individual SINR Constraints,” Proceedings of the IEEE International Conference on Communications (ICC ’10), May 2010, pp 1-5.
 [10]   Ghazavi, M., Monsef, H., Ansari, J. and Kazemi, A., “An Effective Decentralized Scheme to Monitor and Control the Reactive Power Flow: A Holonic-Based Startegy,” International Transactions on Electrical Energy Systems,   September 2015.
 [11]    Yu , W. and Lui, R. “Dual Methods for Nonconvex Spectrum Optimization of Multicarrier Systems,” IEEE Transactions on Communications, Vol. 54, No. 7, 2006, pp. 1310–1322.
 [12]   Rezaee, A., “LearningImprovments In Mobile Robot Behavior With Faulty Sensors Usings Baysians Network,” A ARaie, A Nadi, GsShiry Journal of Iranian Assosiation of Electrical and Electronics Engeenirs 2008.
 [13]    Wang, H., Liu, A. Pan, X. and Li, J., “Optimization of Power Allocation for a Multibeam Satellite Communication System with Interbeam Interference,” Journal of Applied Mathematics, Vol. 2014, Article ID 469437, 10.1155/2014/469437, January 2014.