Integration of multiple communication technologies in a smart grid (SG) enables employing cognitive radio (CR) technology for improving reliability and security with low latency by adaptively and effectively allocating spectral resources. The versatile features of the CR enable the smart meter to select either the unlicensed or the licensed band for transmitting data to the utility company, thus reducing communication outage. Demand response management is regarded as the control unit of the SG that balances the load by regulating the real‐time price that benefits both the utility company and consumers. In this study, joint allocation of the transmission power to the smart meter and consumer's demand is formulated as a two stage multi‐armed bandit game in which the players select their optimal strategies noncooperatively without having any prior information about the media. Furthermore, based on historical rewards of the player, a real‐time pricing adaptation method is proposed. The latter is validated through numerical results.

中文翻译：

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启用认知无线电的智能电网中用于实时定价最优的自适应算法

将多种通信技术集成到智能电网（SG）中，可以采用认知无线电（CR）技术，通过自适应有效地分配频谱资源，以低延迟的方式提高可靠性和安全性。CR的通用功能使智能电表可以选择非授权频段或授权频段，以将数据传输到公用事业公司，从而减少通信中断。需求响应管理被视为SG的控制单元，它通过调节对公用事业公司和消费者均有利的实时价格来平衡负载。在这项研究中，将传输功率联合分配给智能电表和用户 需求被定义为两阶段的多武装土匪游戏，其中玩家无需合作伙伴就可以事先选择最佳策略，而无需任何有关媒体的信息。此外，基于玩家的历史奖励，提出了一种实时定价调整方法。后者通过数值结果得到验证。