A Cross-Layer Packet Scheduling Scheme for Multimedia Broadcasting via Satellite Digital Multimedia Broadcasting System [Advances in Mobile Multimedia]

Study on satellite broadcasting scheduling based on Particle Swarm Optimization algorithm

“…Discovery from the analysis on the basic model was that if the acceleration constant 1 M , 2 M , maximum velocity and such parameters were much too great, particle swarm might miss the optimal solution which would incur non-convergence of the algorithm; while in the condition of convergence, all the particle flew toward the best solution and were assimilated, which slowed down the convergent speed on the later stage considerably; at the same time it failed to continue optimizing when the algorithm converged into specified accuracy thus reaching a relatively low accuracy. On such account and through comprehensive analysis of several improved models like inertia weight model and convergent factor model, appurtenant operators ________________________________ 978-1-4244-4817-3/09/$25.00 ©2009 IEEE including the convergent factor F , inertia weight Z [10] and constraint factor D [11] were adopted to arrive at the following ameliorated formula:…”

“…The optimization of satellite broadcasting scheduling will greatly improve the utilization efficiency of the satellite communication resource and system. Common approaches involve in conventional optimization approaches and computational-intelligence-based approaches like generic algorithm (GA), neural network method and so on [1][2][3][4][5][6]. However, defects such as limited solution accuracy, speed and aptness to fall into local minimum have undermined the approaches above.…”

“…Tab.1~Tab.3 illustrated the optimal solution by employment of 1 R , 2 R and 3 R respectively. Non-zero integers in the tables represented that one satellite broadcast to the ground station during the corresponding period; while integer zero expressed that no satellite broadcast during the corresponding period.…”

Cross-layer quality-driven adaptation for scheduling heterogeneous multimedia over 3G satellite networks

“…To improve this, the delay differentiation queuing (DDQ) [7] and the dynamic resource allocation (DRA) algorithm [8] were investigated in our previous works to optimize the resource allocation using the instantaneous data rate information. DDQ is developed based on the delay-sensitive schemes [3] proposed in differentiated services networks.…”