SWIPT网络的绿色运营:终端用户设备的作用
Green Operations of SWIPT Networks: The Role of End-User Devices
AI总结:
针对物联网设备电池受限问题,本文构建基于随机几何的SWIPT网络分析模型,提出遗传算法求解能量最优配置,揭示了带无线能量传输的网络节能供应策略与传统网络的根本差异。
摘要:
物联网(IoT)设备通常配备容量有限的电池,且电池不易更换或充电,这极大限制了设备可执行的传感、计算与通信任务。同时无线信息与能量传输(Simultaneous Wireless Information and Power Transfer, SWIPT)范式通过用于信息传输的同一信号向能量收集型IoT设备无线供电,以此解决该问题。由于其特殊性,这类网络需要特定的节能规划与管理方法。但迄今为止,管理SWIPT网络以实现能效的最有效策略尚不明确。本文通过构建基于随机几何的分析模型来解决这一问题,该模型考虑了用户感知性能的统计特性与基站调度机制。我们将推导能量最优配置的问题表述为以主要系统参数为变量的优化问题,并提出一种遗传算法方法来求解该问题。我们的研究结果可对SWIPT网络中功率与通信的节能供应的最有效策略进行一阶评估。研究表明,用户带来的服务容量催生了节能的动态网络供应策略,这类策略与无无线能量传输的网络的策略存在根本性差异。
英文摘要:
Internet of Things (IoT) devices often come with batteries of limited capacity that are not easily replaceable or rechargeable, and that constrain significantly the sensing, computing, and communication tasks that they can perform. The Simultaneous Wireless Information and Power Transfer (SWIPT) paradigm addresses this issue by delivering power wirelessly to energy-harvesting IoT devices with the same signal used for information transfer. For their peculiarity, these networks require specific energy-efficient planning and management approaches. However, to date, it is not clear what are the most effective strategies for managing a SWIPT network for energy efficiency. In this paper, we address this issue by developing an analytical model based on stochastic geometry, accounting for the statistics of user-perceived performance and base station scheduling. We formulate an optimization problem for deriving the energy optimal configuration as a function of the main system parameters, and we propose a genetic algorithm approach to solve it. Our results enable a first-order evaluation of the most effective strategies for energy-efficient provisioning of power and communications in a SWIPT network. We show that the service capacity brought about by users brings energy-efficient dynamic network provisioning strategies that radically differ from those of networks with no wireless power transfer.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。