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Our CAC algorithm dynamically determines the admission criteria according to network loads to provide adaptive QoS for admitted users and improve the utilization efficiency of networks.
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The proposed CAC algorithm dynamically determines the admission criteria according to network loads and adopts an adaptive QoS strategy to improve the utilization efficiency of network resources.
Essentially, the effectiveness of CAC schemes can be critical to both the performances of QoS for admitted connections and the utilization efficiency of network resources.
This allows holding packet delivery processes during silence periods, which is highly recommended for the sake of utilization efficiency of network resources.
The simulations demonstrate that our adaptive BR scheme can simultaneously grant more new connections to improve utilization efficiency of network resources and also guarantee BRs for handoff users.
The article presents a dynamic connection admission control (CAC) and bandwidth reservation (BR) scheme for IEEE 802.16e Broadband Wireless Access networks to simultaneously improve the utilization efficiency of network resources and guarantee QoS for admitted connections.
The article presents a dynamic CAC algorithm and an adaptive BR scheme for IEEE 802.16e mobile WiMAX networks to simultaneously improve the utilization efficiency of network resources and guarantee QoS for admitted new connections and handoff connections.
Since the reserved bandwidth cannot be taken by a new coming user, the design of BR mechanisms can significantly affect the performance of handoff QoS and also the utilization efficiency of network resources.
We are thus motivated to present a joint design of CAC and BR mechanisms which aim at simultaneously improving the utilization efficiency of network resources and guaranteeing QoS for admitted new connections and handoff connections.
Network virtualization has been considered a promising approach for promoting heterogeneous services and mechanisms towards the next-generation network architectures, which can greatly improve the global utilization efficiency of network resources, and hence the capacity of service delivery.
Hence, the utilization efficiency of the overall gas and power networks is higher in case 3. Open image in new window Fig. 2 Pareto optimality solutions for three cases with objectives of EENS and capital investment cost Table 5 Results of three cases Case EENS Gas plant capacity (p.u).
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