A Channel Knowledge Map-Driven Two-Stage Coordinated User Scheduling in Multi-Cell Massive MIMO Systems
Jiayang Wan, Hongwei Hou, Jiawei Zhuang, Wenjin Wang, Shi Jin

TL;DR
This paper proposes a two-stage user scheduling framework for multi-cell massive MIMO systems that leverages a channel knowledge map to reduce overhead and improve robustness against imperfect channel information.
Contribution
It introduces a CKM-driven scheduling framework with a reliability-guided mechanism to enhance robustness and reduce CSI acquisition overhead in multi-cell massive MIMO systems.
Findings
Reduces CSI acquisition overhead significantly.
Improves inter-cell interference suppression.
Enhances robustness against imperfect SCSI.
Abstract
This paper investigates narrowband coordinated user scheduling in multi-cell massive multiple-input multiple-output (MIMO) systems. We formulate the problem under a spectral-efficiency maximization criterion, revealing inherent challenges in computational complexity and signaling overhead. To address these, we develop a user-scheduling-oriented CKM (US-CKM) and a US-CKM-driven two-stage coordinated scheduling framework. By exploiting the mapping between location information and statistical channel state information (SCSI), the system enables rapid SCSI retrieval and persistent reuse, substantially reducing CSI acquisition overhead. Embedding statistical channel correlation into the CKM further characterizes interuser interference patterns. The framework designs an intra-cell active-user selection scheme for the first stage and an inter-cell coordinated scheduling scheme for the second,…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Network Optimization · Advanced Wireless Communication Techniques
