对于支持6G的扩展物联网网络的干扰意识资源控制
Ashu Taneja1, Nayef Alqahtani2, Ali Alqahtani3
1Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
这项研究介绍了一个支持6G的无蜂物联网网络,以提高连接性. 提出的调度算法提高了光谱效率,并最大限度地减少了连接设备的干扰.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 电信 电信服务 电信服务 电信服务
背景情况:
- 下一代物联网 (IoT) 需要强大的连接,统一的覆盖范围和数字转型的可扩展性.
- 新兴的消费设备需要先进的物联网解决方案来实现自动化,集成和个性化.
- 下一代移动网络 (超越5G,6G) 对于消费者物联网的智能协调至关重要.
研究的目的:
- 介绍一个支持6G的可扩展的无蜂物联网网络设计.
- 为越来越多的无线节点保证统一的服务质量 (QoS).
- 提出一个高效的资源管理和调度算法,以尽量减少干扰.
主要方法:
- 开发了一个支持6G的可扩展的无蜂物联网网络架构.
- 提出了一种新的调度算法,以尽量减少邻近节点和接入点 (AP) 的干扰.
- 使用数学公式进行性能分析,使用各种预编码方案和试点分配策略.
主要成果:
- 拟议的算法使用部分调节零强力 (PRZF) 预编码在tp=10.0的试点长度实现了光谱效率的18.9%的提高.
- 与随机调度相比,拟议的方法在95%的用户节点中提高了10.9%的光谱效率.
- 通过最佳的节点-AP关联来证明有效的资源管理.
结论:
- 支持6G的无蜂物联网网络有效地解决了可扩展性和QoS要求.
- 拟议的调度算法显著提高了频谱效率,并减少了无线网络中的干扰.
- 这项研究为未来智能和互联物联网生态系统提供了基础.
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