基于LBT的RF驱动NR-U网络的模拟和性能分析,用于物联网
Varada Potnis Kulkarni1, Radhika D Joshi1
1Department of Electronics and Telecommunication Engineering, COEP Technological University, Formerly College of Engineering Pune, Wellesley Road, Shivajinagar, Pune 411005, India.
Sensors (Basel, Switzerland)
|August 29, 2024
概括
采用射频驱动的新无线电无许可 (NR-U) 网络通过结合能源采集和频谱共享,为蜂物联网 (IoT) 提供了可持续的解决方案. 这种方法有效地解决了频谱需求和物联网能源需求.
科学领域:
- 无线通信网络是无线通信网络.
- 采集能源的技术 收集能源的技术
- 物联网 (IoT) 系统的物联网 (IoT) 系统.
背景情况:
- 对于物联网设备的无线频谱和节能解决方案的需求日益增加.
- 新无线电未经许可 (NR-U) 技术的出现,用于利用未经许可的频谱.
- 收获无线电频率 (RF) 能量的潜力,以可持续地为物联网设备提供动力.
研究的目的:
- 为蜂物联网建模和分析RF驱动的NR-U网络的性能.
- 为网络节点和基站推导关键的服务质量 (QoS) 指标.
- 调查各种网络参数对系统性能的影响.
主要方法:
- 使用马尔科夫链方法建模NR-U网络.
- 为正常化的和吞吐量和平均数据包延迟衍生闭式表达式.
- 计算传输中断概率和分析 QoS 参数.
- 观察网络密度对碰撞,传输和能量收集概率的影响.
主要成果:
- 为关键绩效指标 (如吞吐量和数据包延迟) 衍生出封闭式表达式.
- 分析揭示了拥堵窗口大小,TXOP和能量水平对 QoS 的影响.
- 网络密度被证明会影响碰撞,传输和能量收集的概率.
- 拟议的模型经过模拟验证,证实了它的准确性.
结论:
- 基于射频的NR-U网络为蜂物联网提供了可行和可持续的解决方案.
- 开发的马尔科夫链模型为网络性能和QoS提供了有价值的见解.
- 优化能源水平和网络密度等参数可以提高物联网网络的效率.
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