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To provide better usage of spectrum, regulators, such as the FCC and Ofcom, have been considering how to share spectrum between operators and also between different types of network. Two important aspects of any mobile service that need to be considered are how to ensure the appropriate level of service to individual users and how to minimize power consumption. This paper addresses the issue by applying...
In the Big Data era, the gap between the storage performance and an application’s I/O requirement is increasing. I/O congestion caused by concurrent storage accesses from multiple applications is inevitable and severely harms the performance. Conventional approaches either focus on optimizing an application’s access pattern individually or handle I/O requests on a low-level storage layer without any...
This paper provides a new approach allocating resources between multimedia users in a multi-cell OFDMA system in order to maximize the number of users that can achieve their QoS requirements. It does this by formulating the problem as a non-cooperative game. We propose a distributed algorithm to get the Nash equilibrium (NE) as well as introducing a new performance indicator (the qualified throughput)...
This paper propose a novel learning approach that applies NeuroEvolution of Augmenting Topology (NEAT) based learning algorithm to resolve Call Admission Control (CAC) combined with resource allocation in adaptive multimedia wireless networks; this not only decides whether to accept or reject a request call, but also determines the allocated bandwidth to that requesting call. The objective is to maximize...
The next generation 3GPP long-term evolution (LTE) mobile system will use orthogonal frequency division multiplexing access (OFDMA) as the key technology to improve the spectrum efficiency and flexible user resource allocation. One of the challenges of OFDMA systems is the interference at the cell edge where users are likely to get high interference from neighbouring cells. In a network with non-uniform...
A new approach for learning call admission control (CAC) schemes that can provide quality of service (QoS) guarantees to ongoing calls from several classes of traffic with different resource requirements is presented. Comparison with two other CAC schemes shows that the new approach is not only capable of utilizing the network resource to maximize revenue but also maintain the handover dropping rate...
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