在多标签MIMO共生无线电网络中,加权总和速度最大化和任务完成时间最小化
Long Suo1, Dong Wang1, Wenxin Zhou1
1College of Information Science and Technology & Artificial Intelligence, Nanjing Forestry University, Nanjing 210037, China.
Sensors (Basel, Switzerland)
|January 28, 2026
概括
这项研究优化了共生无线电 (SR) 网络的物联网 (IoT) 通过改善频谱的使用和减少任务完成时间 (TCT) 在有多样化数据需求的系统.
科学领域:
- 无线通信无线通信
- 物联网 (IoT) 网络 物联网 (IoT) 网络
- 频谱管理 频谱管理
背景情况:
- 共生无线电 (SR) 为物联网提供频谱和能源效率,通过使被动反射装置 (BD) 与主要传输一起实现.
- 现有的多标签 MIMO SR 系统通常假设统一的流量需求,并专注于速率指标,忽视具有异质数据的任务完成时间 (TCT).
研究的目的:
- 为多标签MIMO共生无线电网络开发一个联合性能优化框架.
- 解决SR系统中TCT不平衡的问题,在BD中对数据要求异质.
主要方法:
- 制定了对二次回散链路的加权总和率 (WSR) 最大化,并将其转换为加权最小平均平方误差 (WMMSE) 问题.
- 采用块坐标下降 (BCD) 方法来优化预编码矩阵,解码过器和反射系数.
- 提出了一种速率重量适应方案,以动态调整BD重量以最大限度地减少TCT.
主要成果:
- 该框架增强了二次链路的WSR,而不会影响主链路的性能.
- 在多标签异质交通场景中,在总体TCT中实现了显著的减少.
- 证明了MIMO SR网络提议的优化框架的有效性和稳定性.
结论:
- 拟议的框架有效地优化了MIMO SR网络的速度和TCT.
- 该方法适用于具有多样化和动态流量需求的低功耗物联网网络.
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