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User adaptive QoS aware selection method for cooperative heterogeneous wireless systems: A dynamic contextual approach

机译：协作异构无线系统的用户自适应QoS感知选择方法：动态上下文方法

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摘要

This paper proposes an adaptive realistic mechanism for joint network and user selection in cooperative wireless network environments. We present a novel optimization utility to incorporate the quality-of-service (QoS) dynamics of the available networks along with heterogeneous attributes of each user. The joint network and user selection is modelled by an evolutionary game theoretical approach and replicator dynamics is solved to seek an optimal stable solution. Combining both self-control of users' preferences and self-adjustment of networks' parameters, our study innovates over related efforts. The simulation results demonstrate that the proposed inverse cumulative ranking scheme significantly improves the overall QoS performance and system benefits as compared to other solutions. Our results also show that by incorporating the proposed Region of Interest (RoI) scheme, the complexity of the evolutionary game with and without network re-configuration can be reduced by 23% and 58 % respectively.
机译：本文提出了一种在协作无线网络环境中用于联合网络和用户选择的自适应现实机制。我们提出一种新颖的优化实用程序，以结合可用网络的服务质量（QoS）动态以及每个用户的异构属性。联合网络和用户选择是通过进化博弈理论方法建模的，并且解决了复制器动力学问题，以寻求最佳的稳定解决方案。结合用户偏好的自我控制和网络参数的自我调整，我们的研究在相关工作方面进行了创新。仿真结果表明，与其他解决方案相比，所提出的逆累积排名方案显着提高了整体QoS性能和系统优势。我们的结果还表明，通过合并建议的兴趣区域（RoI）方案，带有和不带有网络重新配置的演化博弈的复杂度可以分别降低23％和58％。

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