Spatial-spectral Cell-free Networks: A Large-scale Case Study
Zesheng Zhu, Lifeng Wang, Xin Wang, Dongming Wang, Kai-Kit Wong

TL;DR
This paper introduces spatial-spectral cell-free networks with leaky-wave antennas to reduce beam training overhead, proposing novel subchannel allocation and adaptive AP clustering solutions for large-scale sub-terahertz systems.
Contribution
It presents a new spatial-spectral coupling approach with leaky-wave antennas and develops innovative subchannel allocation and hierarchical AP clustering methods for scalable large-scale cell-free networks.
Findings
Significant reduction in beam training overhead.
Effective subchannel allocation improves interference management.
AP clustering enhances large-scale network performance.
Abstract
This paper studies the large-scale cell-free networks where dense distributed access points (APs) serve many users. As a promising next-generation network architecture, cell-free networks enable ultra-reliable connections and minimal fading/blockage, which are much favorable to the millimeter wave and Terahertz transmissions. However, conventional beam management with large phased arrays in a cell is very time-consuming in the higher-frequencies, and could be worsened when deploying a large number of coordinated APs in the cell-free systems. To tackle this challenge, the spatial-spectral cell-free networks with the leaky-wave antennas are established by coupling the propagation angles with frequencies. The beam training overhead in this direction can be significantly reduced through exploiting such spatial-spectral coupling effects. In the considered large-scale spatial-spectral…
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Taxonomy
TopicsMolecular Communication and Nanonetworks · Advanced MIMO Systems Optimization · Cooperative Communication and Network Coding
