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An important problem for mobile IPTV service is to provide real-time user perceived QoE-guaranteed multimedia services over packet-based heterogeneous networks. We propose and analyze resource allocation algorithms based on reward optimization with bandwidth allocation of four different class levels in a constraints limited system resource. For QoE requesting and delivering in real-time, these bandwidth allocation and adaptation algorithms are developed based on two strategies: cost-based admission control in priority reservation regarding system (service provider) benefit and flow-based dynamic adaptation control regarding user satisfy in QoE. We design the system as a M/M/m/m and M/M/m/m/s queueing models and then apply a cost-based admission control algorithm with the terms `reward' and `loss' per each class respectively according to whether a service request is admitted or rejected. The system can obtain the best reward as a function of cost characteristics and user requests. For the multimedia traffic control with the amount of bandwidth, a flow-based dynamic adaptation algorithm is proposed in the second strategy. In order to allocate the amount of bandwidth optimally in an already defined bandwidth for each users' service request, a call admission control-based dynamic allocation for each service flow is useful to compensate the system for `loss'. Also, we measure video quality using Jerkiness and RMSE methods to prove performance of the proposed algorithms. Finally, the system which is applying our algorithms essentially achieves the best performance. The formulated bandwidth allocation and adaptation algorithms for real-time QoE-guaranteed multimedia service in this research are useful to get an advantage in cost benefit as an aspect of the system or service provider.