2022/03/07 by Le Yang, Fu-Chun Zheng, Yang, Le +4
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Mathematics · #Advanced MIMO Systems Optimization #DNA and Biological Computing #FOS: Computer and information sciences #Information Theory (cs.IT) #Millimeter-Wave Propagation and Modeling #cs.IT #math.IT
paper · pdf · doi:10.48550/arxiv.2203.03357
arxiv created 2022/03/07 · openalex publication_date 2022/03/07 · arxiv updated 2022/03/08 · openalex created_date 2022/04/03 · openalex updated_date 2026/07/28
In this paper, we investigate a hybrid caching strategy maximizing the success transmission probability (STP) in a millimeter wave (mmWave) cache-enabled network. First, we derive theoretical expressions of the STP and the average system transmission delay by utilizing stochastic geometry, then we consider the maximization of the STP and the minimization of the average system transmission delay by optimizing the design parameters. Considering the optimality structure of the NP-hard problem, the original problem is transferred into a multi-choice knapsack problem (MCKP). Finally, we investigate the impact of key network parameters on the STP and the average system transmission delay. Numerical results demonstrate the superiority of the proposed caching strategy over the conventional caching strategies in the mmWave cache-enabled networks.