物联网网络中可移动天线的免信道状态信息定位:一种组合核化老虎机方法
CSI-Free Positioning of Movable Antennas for IoT Networks: A Compositional Kernelized Bandit
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中文总结 AI 辅助
针对物联网中可移动天线阵列的定位问题,提出组合核化老虎机算法CoMoveUCB,在无信道状态信息下实现次线性动态遗憾,并优于多种基准方法。
中文摘要 AI 辅助
可移动天线(MA)阵列通过机械改变单元位置来重塑传播信道,这适用于物联网接入点,因为其设备无法自行适应。现有的位置优化假设在每个候选配置下信道都是已知的。然而在实践中,只有在阵列移动到该位置后,才能在受执行器速度限制的几个时隙内评估配置,而在此期间信道会发生变化。我们将无信道状态信息下服务K个设备的M个MA的定位问题,建模为联合配置空间上的非平稳核化老虎机问题,该问题受可达性约束和执行能量成本限制,每个时隙仅由单个标量速率反馈驱动。由于标准核的信息增益随M呈指数增长,且多用户总速率通过每个天线项之和依赖于位置,我们设计了一种组合核,该核保留到天线对的相互作用。基于此核,我们提出了CoMoveUCB算法,该算法通过坐标上升法在整个可行集上选择目标配置,并采用持久性规则保持该配置。我们证明了动态遗憾具有次线性界,且对M呈多项式依赖。仿真表明,CoMoveUCB在不同负载下均优于固定、先测量后优化以及受可达性约束的基准方法,证实了在实际执行器限制下重新定位MA阵列的价值。
英文摘要
Movable antenna (MA) arrays reshape the propagation channel by mechanically changing the element positions, which suits Internet-of-Things access points whose devices cannot adapt on their own. Existing position optimization assumes the channel is known at every candidate configuration. In practice a configuration can be evaluated only after the array has moved there, over several slots limited by the actuator speed, during which the channel changes. We formulate the positioning of M MAs serving K < M devices without channel state information as a nonstationary kernelized bandit over the joint configuration space, driven by a single scalar rate feedback per slot under a reachability constraint and an actuation-energy cost. Since the information gain of a standard kernel grows exponentially with M , and the multiuser sum rate depends on the positions through a sum of per-antenna terms, we design a compositional kernel that retains interactions up to antenna pairs. On this kernel we propose CoMoveUCB, which selects a target configuration over the whole feasible set by coordinate ascent and retains it under a persistence rule. We prove sublinear dynamic regret with a polynomial dependence on M . Simulations show that CoMoveUCB outperforms fixed, measure-then-optimize, and reachability-confined benchmarks across loadings, confirming the value of repositioning an MA array under realistic actuation limits.
发表机构
- Hanyang University(汉阳大学)
- University of Southern California(南加州大学)
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