A system model is formulated as the maximization of a total utility function to achieve fair downlink data scheduling in multiuser orthogonal frequency division multiplexing （OFDM） wireless networks. A dynamic subca...A system model is formulated as the maximization of a total utility function to achieve fair downlink data scheduling in multiuser orthogonal frequency division multiplexing （OFDM） wireless networks. A dynamic subcarrier allocation algorithm （DSAA） is proposed, to optimize the system model. The subcarrier allocation decision is made by the proposed DSAA according to the maximum value of total utility function with respect to the queue mean waiting time. Simulation results demonstrate that compared to the conventional algorithms, the proposed algorithm has better delay performance and can provide fairness under different loads by using different utility functions.展开更多
Information has two aspects. One aspect is the objective one; another aspect is the subjective one. Shannon has discussed the objective aspect of information in information theory. But the subjective aspect of informa...Information has two aspects. One aspect is the objective one; another aspect is the subjective one. Shannon has discussed the objective aspect of information in information theory. But the subjective aspect of information has not been fully discussed. Someone use “Bayesian approaches” to evaluate the value of information. But in some cases it does not meet the information user＇s need. This paper is focus on the subjective aspect of objectively measurable information and gives formal definitions for information, information utility, and marginal information utility, normalized calculation of information utility. The information discussed in the paper has interdisciplinary nature. This work can be the foundation of many application areas.展开更多
针对无线和电力线通信混合组网的信道竞争接入问题,提出了一种基于深度强化学习的电力线与无线双模通信的MAC接入算法。双模节点根据网络广播信息和信道使用等数据自适应接入双媒质信道。首先建立了基于双模通信网络交互和统计信息的双...针对无线和电力线通信混合组网的信道竞争接入问题,提出了一种基于深度强化学习的电力线与无线双模通信的MAC接入算法。双模节点根据网络广播信息和信道使用等数据自适应接入双媒质信道。首先建立了基于双模通信网络交互和统计信息的双模通信节点数据采集模型;接着定义了基于协作信息的深度强化学习(deep reinforcement learning,DRL)状态空间、动作空间和奖励,设计了联合α-公平效用函数和P坚持接入机制的节点决策流程,实现基于双深度Q网络(double deep Q-network,DDQN)的双模节点自适应接入算法;最后进行算法性能仿真和对比分析。仿真结果表明,提出的接入算法能够在保证双模网络和信道接入公平性的条件下,有效提高双模通信节点的接入性能。展开更多
随着碳中和目标的推进,综合能源系统(integrated energy system,IES)以其多能耦合、能量梯级利用等优势,逐渐成为能源供应的重要发展方向。在具有差异化用能需求的多功能区IES之间实现协同规划与调度,对提高系统经济性、降低系统碳排放...随着碳中和目标的推进,综合能源系统(integrated energy system,IES)以其多能耦合、能量梯级利用等优势,逐渐成为能源供应的重要发展方向。在具有差异化用能需求的多功能区IES之间实现协同规划与调度,对提高系统经济性、降低系统碳排放有着重要作用。然而,由于碳捕集机组、多类型氢能利用设备等低碳元件的接入以及可再生能源发电的不断增加,随之而来的元件模型非凸性与系统内多类型不确定性对系统规划的影响亟需研究。对此,该文考虑了机组低碳改造和氢能多模式利用低碳特性,提出了一种针对多功能区综合能源系统的不确定性协同规划方法。首先,详细分析了多功能区供/用能特性与多能互补关系,构建了具有分区差异化特征的多功能区设备规划策略。其次,建立了低碳改造后的热电联产机组和氢能多模式利用设备的数学模型,并对其低碳特性进行了分析。基于此,为应对规划周期内系统低碳改造成本的不确定性和短期内可再生能源出力的不确定性,提出了一种混合长-短期不确定性的多功能区IES协同规划模型。通过基于二进制扩展的凸包线性化方法,对所提规划模型中的非线性约束进行凸化,并采用相应的迭代收缩求解算法实现模型的有效求解。最后,通过某实际多功能区IES算例进行仿真,结果验证了所提模型和所用算法的有效性。展开更多
文摘A system model is formulated as the maximization of a total utility function to achieve fair downlink data scheduling in multiuser orthogonal frequency division multiplexing （OFDM） wireless networks. A dynamic subcarrier allocation algorithm （DSAA） is proposed, to optimize the system model. The subcarrier allocation decision is made by the proposed DSAA according to the maximum value of total utility function with respect to the queue mean waiting time. Simulation results demonstrate that compared to the conventional algorithms, the proposed algorithm has better delay performance and can provide fairness under different loads by using different utility functions.
文摘Information has two aspects. One aspect is the objective one; another aspect is the subjective one. Shannon has discussed the objective aspect of information in information theory. But the subjective aspect of information has not been fully discussed. Someone use “Bayesian approaches” to evaluate the value of information. But in some cases it does not meet the information user＇s need. This paper is focus on the subjective aspect of objectively measurable information and gives formal definitions for information, information utility, and marginal information utility, normalized calculation of information utility. The information discussed in the paper has interdisciplinary nature. This work can be the foundation of many application areas.
文摘针对无线和电力线通信混合组网的信道竞争接入问题,提出了一种基于深度强化学习的电力线与无线双模通信的MAC接入算法。双模节点根据网络广播信息和信道使用等数据自适应接入双媒质信道。首先建立了基于双模通信网络交互和统计信息的双模通信节点数据采集模型;接着定义了基于协作信息的深度强化学习(deep reinforcement learning,DRL)状态空间、动作空间和奖励,设计了联合α-公平效用函数和P坚持接入机制的节点决策流程,实现基于双深度Q网络(double deep Q-network,DDQN)的双模节点自适应接入算法;最后进行算法性能仿真和对比分析。仿真结果表明,提出的接入算法能够在保证双模网络和信道接入公平性的条件下,有效提高双模通信节点的接入性能。
文摘随着碳中和目标的推进,综合能源系统(integrated energy system,IES)以其多能耦合、能量梯级利用等优势,逐渐成为能源供应的重要发展方向。在具有差异化用能需求的多功能区IES之间实现协同规划与调度,对提高系统经济性、降低系统碳排放有着重要作用。然而,由于碳捕集机组、多类型氢能利用设备等低碳元件的接入以及可再生能源发电的不断增加,随之而来的元件模型非凸性与系统内多类型不确定性对系统规划的影响亟需研究。对此,该文考虑了机组低碳改造和氢能多模式利用低碳特性,提出了一种针对多功能区综合能源系统的不确定性协同规划方法。首先,详细分析了多功能区供/用能特性与多能互补关系,构建了具有分区差异化特征的多功能区设备规划策略。其次,建立了低碳改造后的热电联产机组和氢能多模式利用设备的数学模型,并对其低碳特性进行了分析。基于此,为应对规划周期内系统低碳改造成本的不确定性和短期内可再生能源出力的不确定性,提出了一种混合长-短期不确定性的多功能区IES协同规划模型。通过基于二进制扩展的凸包线性化方法,对所提规划模型中的非线性约束进行凸化,并采用相应的迭代收缩求解算法实现模型的有效求解。最后,通过某实际多功能区IES算例进行仿真,结果验证了所提模型和所用算法的有效性。
