2024/12/03 by Junyuan Wang, Tianyao Wu, Wang, Junyuan +5
Engineering · Computer Science · Physics and Astronomy · #Advanced MIMO Systems Optimization #Cooperative Communication and Network Coding #Complex Network Analysis Techniques
paper · pdf · doi:10.48550/arxiv.2412.02282
Clustered cell-free networking, which dynamically partitions the whole network into nonoverlapping subnetworks, has been recently proposed to mitigate the cell-edge problem in cellular networks. However, prior works only focused on optimizing clustered cell-free networking in static scenarios with fixed users. This could lead to a large number of handovers in the practical dynamic environment with moving users, seriously hindering the implementation of clustered cell-free networking in practice. This paper considers user mobility and aims to simultaneously maximize the sum rate and minimize the number of handovers. By transforming the multi-objective optimization problem into a time-varying graph partitioning problem and exploring evolutionary spectral clustering, a temporal-smoothed clustered cell-free networking algorithm is proposed, which is shown to be effective in smoothing network partitions over time and reducing handovers while maintaining similar sum rate.