The objective of this study is to develop a practical multi-timescale cooperative user association and hybrid beamforming protocol with real-time channel estimation and latency-aware scheduling for scalable, low-latency 6G mmWave XL-MIMO networks.
Building upon the multi-timescale cooperative user association and hybrid beamforming framework for mmWave XL-MIMO systems, this extended work proposes a practical and deployable protocol designed for real-world 6G applications. The enhanced system addresses key challenges by incorporating pilot sequencing and real-time channel estimation, replacing the idealized assumption of perfect CSI with a robust and dynamic estimation process. To support time-sensitive networking (TSN) applications, the protocol integrates latency-aware resource allocation and deterministic scheduling mechanisms. Additionally, the framework is adapted to function in highly dynamic environments with mobile, wirelessly connected base stations, extending beamforming capabilities to both BS–UE and BS–BS links. These enhancements enable flexible deployment in scenarios such as UAV-assisted networks, mobile edge infrastructures, and disaster recovery communications. Simulation results and system-level analysis demonstrate that the protocol maintains low latency, scalable performance, and efficient beam adaptation across rapidly changing network topologies, paving the way for practical deployment in next-generation wireless systems.
Keywords: Hybrid beamforming, Cooperative networks, XL-MIMO, mmWave, User association, Throughput-optimal scheduling, 6G, Time-Sensitive Networking (TSN).
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Software: Matlab 2022b or above
Hardware:
Operating Systems:
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· Introduction to Matlab
· What is EISPACK & LINPACK
· How to start with MATLAB
· About Matlab language
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· Application Program Interface in Matlab
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