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In order to ensure a high utilization of wireless resources, transmit powers and beamformers should be optimized jointly to exploit interdependencies between them.
In such networks, it is necessary to employ efficient mobility management strategies to meet different QoS requirements for various traffic classes while maintaining high or fair utilization of wireless resources.
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Wireless relay networks utilize different types of wireless resources.
Therefore, many researchers consider reuse of wireless resources in macro- and femtocells in order to improve utilization of the expensive wireless resources[13].
However, in this case, utilization of the wireless resources may low, since the wireless resources should be segmented into small pieces.
Guided by our analysis, we design a Capacity-Aware Route SeleCARSn algorithm (CARS), which allocates network paths to downstream and upstream Internet flows so as to ensure a more balanced utilization of wireless network resources and gateways' fixed connections.
By taking advantage of this model, we design a novel Load-Aware Route Selection algorithm, named LARS, which improves the network capacity by allocating network paths to upstream Internet flows so as to ensure a more balanced utilization of wireless network resources and gateways' Internet connections.
The design challenge is to maximize the utilization of the limited wireless resources while guaranteeing the various quality of service requirements for all traffic classes especially for the stringent real-time constraint of real-time variable bit rate (rt-VBR) video service.
This reduces the total admitted traffic and results in inefficient utilization of wireless channels.
Cognitive radio (CR) technology was developed as a remedy to the aforementioned problem, conceptually increasing the utilization factor of the existing wireless resources.
This algorithm resulted in a better utilization of resources, introduced less resource fragments and saved energy.
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