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In this paper, we propose a group partition approach for scalable throughput optimization of capacity-region-aware Device-to-Device communications. Instead of the conventional collision model, we adopt network information theory that allows a receiving device to simultaneously decode multiple packets from multiple transmitting devices, as long as the vector of transmitting rates is inside the capacity...
Optimal resource allocation is an outstanding issue in wireless communication systems. In this work we focus on the ever challenging optimization of the tradeoff between throughput and fairness. Specifically, we propose a novel framework to analytically derive the maximum average throughput versus fairness under the assumptions that the throughput of each user i) increases if more resources are allocated...
Message batching is a well-known optimization technique to maximize throughput of networked services. The manual configuration of the appropriate batching level is however a time consuming and not trivial task. Too low batching values can in fact render the system unstable in presence of high loads, excessively high batching values, on the other hand, can lead to high latency at low load, which may...
Recently, cross-layer relay selection methods are proposed in favor of providing QoS requirements of users in multi-user cooperative networks as a way to achieve a better performance. However, most of them have failed to achieve an acceptable level of fairness in satisfying diverse QoS requirements in a multi-media service. On the other hand, reducing consumed power is essential today in cooperative...
Semantic information, which is well-regulated and easy to be retrieved, has greatly enriched the expressive ability of the Web. These advantages can be applied in Web Services to meet the increasing complexity of Web applications. In this paper, we propose a service composition approach. It combines the large-scaled Web Services and semantic information which is described in WSCpsila09. Besides, QoS...
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