基于140 GHz和300 GHz下分辨窗口指标的6G太赫兹多用户设备集群联合扫描跟踪波束调度
Joint Track-While-Scan Beam Scheduling for 6G Sub-Terahertz Multi-UE Clusters Using Resolving-Window Metrics at 140 GHz and 300 GHz
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中文总结 AI 辅助
该研究针对6G太赫兹多UE集群的波束调度问题，基于分辨窗口指标提出优先级驱动的联合扫描跟踪调度器，实现热受限下的多目标优化，提升调度性能。
中文摘要 AI 辅助
在候选6G太赫兹（sub-THz）载波140 GHz和300 GHz附近，1°-6°的半功率波束宽度形成了5G波束管理从未设计过的调度机制：基站必须在热受限占空比内，同时保持活跃用户设备（UE）的高信噪比（SNR）波束、监测向可分辨边缘漂移的UE，并利用稀缺波束时间扫描新接入的UE，这在结构上属于电子扫描阵列（ESA）雷达的扫描跟踪（TWS）问题。基于一篇定义了单UE分辨窗口指标（归一化距离间隔W_R、SNR门控角间隔W_θ^eff、视距收敛紧急度C_k、波束退出时间T_exit）的配套论文，本文将这些指标转化为可实现的控制平面：（i）将联合跟踪-调度问题表述为关于中断概率、波束误关联（模糊）概率和发现时延的约束多目标优化，受射频链预算B_max和热占空比η约束；（ii）定义由分辨窗口状态驱动的三态UE分类——稳定态、边界态、模糊态，其极性与雷达一致（短退出时间和低可分性会提升UE状态，永不降低）；（iii）提出一种低复杂度、优先级驱动的TWS调度器，其先预留扫描容量、预防性稳定边界态UE，并以受各自T_exit约束的宽松重访率服务稳定态UE。
英文摘要
At candidate 6G sub-terahertz (sub-THz) carriers near 140 GHz and 300 GHz, half-power beamwidths of 1°-6° create a scheduling regime that 5G beam management was never designed for: a base station must simultaneously hold high-SNR beams on active user equipments (UEs), monitor UEs drifting toward the edge of resolvability, and spend scarce beam time scanning for new arrivals-all within a thermally limited duty cycle. This is structurally the track-while-scan (TWS) problem of electronically scanned array (ESA) radar. Building on a companion paper that defined per-UE resolving-window metrics (normalized range separation W_R, SNR-gated angular separation W_θ^eff, LoS-convergence urgency C_k, and beam time-to-exit T_exit), this paper converts those metrics into an implementable control plane. We (i) formulate the joint tracking-scheduling problem as a constrained multi-objective optimization over outage probability, beam mis-association (ambiguity) probability, and discovery latency, subject to an RF-chain budget B_max and a thermal duty factor η; (ii) define a three-state UE classification-stable, boundary, ambiguous-driven by the resolving-window state with radar-consistent polarity (short time-to-exit and low separability escalate a UE's state, never relax it); and (iii) propose a low-complexity, priority-driven TWS scheduler that reserves scan capacity first, stabilizes boundary UEs preventively, and serves stable UEs at relaxed revisit rates bounded by their individual T_exit.
