【摘 要】
：
To maximize the aggregate user utility in networks with both multirate multicast and unicast traffic, a unified convex program formulation of the problem is use
【机 构】
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School of Electronics & Information Technology
论文部分内容阅读
To maximize the aggregate user utility in networks with both multirate multicast and unicast traffic, a unified convex program formulation of the problem is used to integrate multicast and unicast sessions into a common framework, which also takes into account the heterogeneity of multicast receivers. By applying a penalty function approach, a heuristic rate control algorithm is derived. In the distributed implementation of the algorithm in IP networks, core routers employ Random Early Detection (RED) to mark packets in the case of congestion; end-users analyze congestion feedback information and update their rates to calculated optimal values. With an appropriate choice of utility functions and parameters, multicast and unicast sessions can share network resources in the proportional fair manner. Simulation results prove the algorithm's effectiveness. Study is also done on the effect of bandwidth discretization density upon resource allocation fairness in a layered multicast scenario.
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