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In this paper, we apply distributed optimization dynamics of the mutually connected neural networks to RAN selection in heterogeneous type cognitive wireless networks. We evaluate the performance of the proposed approach by implementing it on an experimental heterogeneous wireless network system called Cognitive Wireless Cloud, which supports vertical handover between different radio access networks...
The problem of dynamic Quality of Service (QoS) management for multimedia services has been addressed from two complementary, yet interrelated directions; one mainly dealing with designing adaptive or “elastic” services, and the other, dealing with “smarter” resource allocation. We adopt this approach in this paper, by performing a graceful quality degradation and the corresponding resource (re)allocation...
Providing guaranteed quality-of-service (QoS) for resource-hungry multimedia applications over wireless fading channels is challenging. Traditional layered architecture fails miserably in providing the QoS requirement of high throughput, low latency demand of these kinds of applications in wireless mobile networks. Cross-layer design approaches are critical for efficient utilization of the scarce...
In this paper, an efficient scheme to optimize resource allocation for dynamic OFDMA based WiMAX systems is presented, which provides priority estimated resource allocation with individual QoS provisioning. Our proposed scheme dynamically assigns OFDMA resources to the users to optimize the overall system performance in heterogeneous traffic and diverse QoS based WiMAX systems. To achieve this goal,...
While grids reach further to geographically separated clusters and data warehouses, grid applications pose new demands on end-to-end performance control. Data-intensive grid applications rely on the underneath network to bring together distributed computational and storage resources. From computational grids to data grids, the focus of resource utilization is shifting from computing power to network...
In this paper we study the optimality of an index policy for a bandwidth allocation problem, where a single server is allocated among N queues in a slotted system based on the queue backlog information. Due to the physical nature of the system this information is delayed, in that when the allocation decision is made, the server only has the backlog information from an earlier time. This results in...
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