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Game-theoretic Distributed Spectrum Sharing for Wireless Cognitive Networks with Heterogeneous QoS

机译:基于异构QoS的无线认知网络的游戏理论分布式频谱共享

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Ubiquitous wireless networking calls for efficient dynamic spectrum allocation (DSA) among heterogeneous users with diverse transmission types and bandwidth demands. To meet user-specific quality-of-service (QoS) requirements, the power and spectrum allocated to each user should lie inside a bounded region in order to be meaningful for the targeted application. Most existing DSA methods aim at enhancing the total system utility. As such, spectrum wastage may arise when the system-wise optimal allocation falls outside the desired region for QoS provisioning. The goal of this paper is to develop QoS-aware distributed DSA schemes using the game-theoretic approach. We derive DSA solutions that respect QoS and avoid naively boosting or sacrificing some users' utilities to maximize the network spectrum utilization. Specifically, we propose two game-theoretic DSA techniques: one resorts to proper scaling of the transmission power according to each user's useful utility range, and the other embeds the QoS factor into the utility function used for dynamic gaming. In addition, we introduce two new metrics to evaluate DSA schemes from a practical QoS perspective, namely "system useful utility" and "fraction of QoS satisfied users." Simulations confirm that the proposed DSA techniques outperform existing QoS-blind game models in terms of spectrum sharing efficiency in heterogeneous networks.
机译:无处不在的无线网络调用具有不同传输类型和带宽需求的异构用户中有效的动态频谱分配(DSA)。为了满足用户特定的服务质量(QoS)要求,分配给每个用户的功率和频谱应位于有限区域内,以便对目标应用程序有意义。大多数现有的DSA方法旨在增强总系统实用程序。因此,当系统明智的最佳分配落在所需区域以进行QoS供电时,可能会出现频谱浪费。本文的目标是使用游戏理论方法开发QoS感知分布式DSA方案。我们派生了尊重QoS的DSA解决方案,并避免天真地提升或牺牲一些用户的实用程序来最大化网络谱利用率。具体而言,我们提出了两个游戏理论DSA技术:一个手段根据每个用户的有用实用程序范围正确缩放传输功率,另一个手段嵌入QoS因子进入用于动态游戏的实用程序功能。此外,我们介绍了两种新的指标,从实用的QoS角度来评估DSA方案,即“系统有用的实用程序”和“QoS满意用户的分数”。模拟确认所提出的DSA技术在异构网络中的频谱共享效率方面优于现有的QoS-盲目游戏模型。

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