在CIoT网络中进行合作频谱传感和访问的自由骑士游戏
Kejian Jiang1, Chi Ma2, Ruiquan Lin2
1Guangdong Planning and Designing Institute of Telecommunications Co., Ltd., Guangzhou 510630, China.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
为了打击物联网 (IoT) 网络中的自由骑行,建议采用惩罚机制和双层游戏模式. 这种方法增强了合作频谱传感 (CSS) 并改善了次要用户 (SUs) 的频谱利用.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 无线通信无线通信
背景情况:
- 物联网 (IoT) 设备的普及加剧了对频谱资源的竞争.
- 物联网中的认知无线电技术可以缓解频谱短缺,但面临着自私的二级用户 (SUs) 的自由驾驶挑战.
- 在认知物联网中收集能源,通过激励 SU 避免频谱传感,加剧了自由行.
研究的目的:
- 解决能源采集认知物联网网络中的自由驾驶问题.
- 提出一种方法,以刺激SU进行正常的频谱传感和访问.
- 在认知物联网环境中改善频谱利用和系统性能.
主要方法:
- 建立了一种惩罚机制,以阻止SUs之间的自由骑行行为.
- 建议采用基于游戏的双层方法 (TL-CSAG) 进行合作的频谱传感和访问.
- 该模型考虑了多个主要用户 (PU) 和次要用户 (SU),最大限度地发挥个人利益.
主要成果:
- 拟议的TL-CSAG算法显著提高了频谱利用率.
- 与传统方法相比,平均吞吐量增加了26.3%.
- 该方法促进了在 SU 之间更公平地分配频谱资源.
结论:
- 开发的惩罚机制和基于游戏的方法有效地减轻了认知物联网中的自由行.
- 该TL-CSAG算法为增强合作频谱传感和访问提供了一个实际的解决方案.
- 这项研究有助于在未来的无线网络中更有效,更公平地管理频谱资源.
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