无补贴NOMA:通过用户集群来实现低复杂度的电源控制
1Computer, Electrical, and Mathematical Sciences & Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
Sensors (Basel, Switzerland)
|October 14, 2023
概括
本研究介绍了用于大规模物联网连接的同步无赠款NOMA (GF-NOMA) 框架. 通过集成UE集群和功率控制,GF-NOMA提高了频谱效率和网络寿命,以实现高效的资源利用.
科学领域:
- 无线通信无线通信
- 网络工程 网络工程
- 信号处理 信号处理
背景情况:
- 非直角多重接入 (NOMA) 提高了用于大规模连接的光谱效率.
- 传统的NOMA需要基于赠款的操作,阻碍了大规模的机器类型通信.
- 现有的NOMA计划面临的挑战是道状态信息和电源控制.
研究的目的:
- 为大规模机器类型通信提出同步无补贴NOMA (GF-NOMA) 框架.
- 在GF-NOMA中集成用户设备 (UE) 集群和低复杂度的电源控制.
- 促进对功率域NOMA至关重要的功率接收差异.
主要方法:
- 开发单级GF-NOMA (SGF-NOMA),所有UE的发射功率相同.
- 引入多级GF-NOMA (MGF-NOMA),根据信号强度将UE分组为具有不同功率级别的分区.
- 根据目标 (最大总和/最大最小率),UE数量和资源块 (RB) 实施动态的UE聚类.
主要成果:
- 对于数百个UE,GF-NOMA框架在毫秒内计算集群.
- MGF-NOMA达到最佳最大总和率的96-99%;SGF-NOMA在类似功率下达到87%.
- SGF-NOMA表现出优越的能源消耗公平性和网络寿命,因为UE的电量使用率相等.
结论:
- GF-NOMA框架为物联网中的大规模连接提供了高效的解决方案.
- MGF-NOMA平衡了性能与资源利用,而SGF-NOMA优先考虑了能源公平性.
- 拟议的GF-NOMA计划显著改善了机器类型通信的传统NOMA限制.
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