To maximize the utilization of system resources and satisfy the requirements for quality of service (QoS), the radio resource joint management (RRJM) scheme is proposed for the broadcast base station (BBS) and cell ba...
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To maximize the utilization of system resources and satisfy the requirements for quality of service (QoS), the radio resource joint management (RRJM) scheme is proposed for the broadcast base station (BBS) and cell base station (CBS) mixed mode of broadband wireless multimedia (BWM) system. The RRJM includes multiple utility factors-based packet scheduling (MUFPS) and broadcast cell seamless handover algorithm (BCSHA). The MUFPS takes into account QoS requirements, queue dynamics and channel state information to adapt packet priority with multiple utility factors. The BCSHA adopts seamless switch between BBS with point-to-multipoint (PTM) and CBS with point-to-point (PTP). The switch from BBS PTM to CBS PTP takes into account handover delay for accurate execution. The switch from CBS PTP to BBS PTM avoids ping-pong effect by considering the handover threshold predefined with QoS. Simulation results show that the proposed scheme improves system performance in terms of throughput and delay.
A simulated annealing (SA) algorithm is proposed for the transmission mode selection of multicast services in LTE networks. The multicast services can be transmitted by single frequency network (SFN) mode and point-to...
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A simulated annealing (SA) algorithm is proposed for the transmission mode selection of multicast services in LTE networks. The multicast services can be transmitted by single frequency network (SFN) mode and point-to-multipoint (PTM) mode, and the unicast services are delivered with point-to-point (PTP) mode. To avoid the network congestion in LTE networks with the multicast and unicast mixed services, the demanded resources of the maximum load cell is minimized by selecting the optimal mode between SFN and PTM for multicast services. The transmission mode selection problem is solved by means of SA heuristics. Simulation results show that the proposed SA algorithm achieves less demanded resources of the maximum load cell than SFN mode for all the multicast services.
For the dynamic virtual environment in future network, varying and abundant service demands on future network requires intelligent resource management capabilities to ensure service delivery to customers, motivating t...
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ISBN:
(纸本)9781622761234
For the dynamic virtual environment in future network, varying and abundant service demands on future network requires intelligent resource management capabilities to ensure service delivery to customers, motivating the need to develop a novel virtual resource management architecture for this purpose. In the paper, we propose an intelligent and distributed virtual resource management architecture based on prediction for future network (IDP-VRMA), consist of a Control system, a Knowledge Processing Element and Intelligent Substrate Nodes. Combined with monitoring and prediction capabilities, the IDP-VRMA can perform intelligent virtual resource management in the dynamic virtual environment. Furthermore, we demonstrate the advantages of the proposed architecture by means of functional descriptions.
In this paper, we propose a spectrum detection algorithm based on an orthogonal dual-polarized antenna for cognitive radio, called polarization spectrum detection. In the proposed algorithm，using polarization informa...
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In this paper, we propose a spectrum detection algorithm based on an orthogonal dual-polarized antenna for cognitive radio, called polarization spectrum detection. In the proposed algorithm，using polarization information from dual-polarization received antenna，the test statistic is derived according to likelihood ratio test criteria, and is compared with threshold to detect whether the primary user is present or not. The main new attractive feature of the proposed algorithm is that to work in the presence of unknown priori knowledge. The simulation results show that the proposed algorithm performance with priori knowledge is much better than energy detection，and is affected little by noise uncertainty with unknown priori knowledge.
A novel method for achieving practical real-time traffic classification is proposed in this paper, which is based on C4.5 decision tree. Most existing traffic classification algorithms only focus on accuracy of th...
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ISBN:
(纸本)9781457715860
A novel method for achieving practical real-time traffic classification is proposed in this paper, which is based on C4.5 decision tree. Most existing traffic classification algorithms only focus on accuracy of the classification results, but lack of considering the various costs in actual deployment. So they cannot guarantee that the obtained tree construction is optimal for hardware and software processing. To solve this problem, our Cost Based Feature Evaluation procedure defines VnitGainRatio as the metric of attributes to find the best tree construction when considering the attribute acquisition and processing cost We also introduce another method called Fuzzy Delicacy Node Selection procedure to choose the more suitable node, when their VnitGainRatio are too close to each other. The experiment results show that the proposed method reduces the average cost compared with similar algorithm.
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