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Design of Cognitive Radio Systems Under Temperature-Interference Constraints: A Variational Inequality Approach

机译:温度干扰约束下的认知无线电系统设计:一种变分不等式方法

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The concept of cognitive radio (CR) has recently received great attention from the research community as a promising paradigm to achieve efficient use of the frequency resource by allowing the coexistence of licensed (primary) and unlicensed (secondary) users in the same bandwidth. In this paper, we propose a novel Nash equilibrium (NE) problem to model concurrent communications of cognitive secondary users who compete against each other to maximize their information rate. The formulation contains constraints on the transmit power (and possibly spectral masks) as well as aggregate interference tolerable at the primary users' receivers. The coupling among the strategies of the players due to the interference constraints presents a new challenge for the analysis of this class of Nash games that cannot be addressed using the game theoretical models proposed in the literature. For this purpose, we need the framework given by the more advanced theory of finite-dimensional variational inequalities (VI). This provides us with all the mathematical tools necessary to analyze the proposed NE problem (e.g., existence and uniqueness of the solution) and to devise alternative distributed algorithms along with their convergence properties.
机译:认知无线电(CR)的概念最近作为一个有前途的范例而受到研究界的广泛关注,它通过允许许可(主要)用户和非许可(次要)用户在同一带宽中共存来实现频率资源的有效利用。在本文中,我们提出了一个新颖的纳什均衡(NE)问题,以建模认知二级用户的并发通信,这些用户相互竞争以最大化其信息率。该公式包含对发射功率(可能还有频谱模板)的限制,以及在主要用户的接收器处可容忍的总干扰。由于干扰限制,玩家策略之间的耦合为分析这类Nash游戏提出了新的挑战,无法使用文献中提出的游戏理论模型来解决。为此,我们需要更高级的有限维变分不等式(VI)理论所给出的框架。这为我们提供了分析提出的NE问题(例如解决方案的存在和唯一性)以及设计替代的分布式算法及其收敛特性所需的所有数学工具。

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