Abstract Urbanization and its problems require an in-depth and comprehensive understanding of urban dynamics, especially the complex and diversified lifestyles in modern cities. Digitally acquired data can accurately capture complex human activity, but it lacks the interpretability of demographic data. In this paper, we study a privacy-enhanced dataset of the mobility visitation patterns of 1.2 million people to 1.1 million places in 11 metro areas in the U.S. to detect the latent mobility behaviors and...

RISC Report Series, 23-02

Fifth-generation (5G) systems aim to increase the capacity of existing mobile networks by a factor of 1000, supporting an extremely high user density, as well as numerous device- to-device and machine communications. Ultra Reliable Low Latency Communication (URLLC) constitutes one of the critical operating regimes in 5G, since it will enable low-cost and power-efficient anywhere and anytime signalling services Generalized low-density parity-check (GLDPC) codes, where single parity-check constraints on the code bits are replaced with...

Additional file contains Supplementary Note 1—Data, Supplementary Note 2—Representativity, Supplementary Note 3—Non-negative matrix factorization, Supplementary Note 4—Rank Selection, Supplementary Note 5—Comparison with LDA, Supplementary Note 6—Models, and Supplementary Note 7—Robustness checks. It also contains Supplementary Figures S1 to S5 and Supplementary Tables S1 to S4. (PDF 838 kB)

Additional file contains Supplementary Note 1—Data, Supplementary Note 2—Representativity, Supplementary Note 3—Non-negative matrix factorization, Supplementary Note 4—Rank Selection, Supplementary Note 5—Comparison with LDA, Supplementary Note 6—Models, and Supplementary Note 7—Robustness checks. It also contains Supplementary Figures S1 to S5 and Supplementary Tables S1 to S4. (PDF 838 kB)

Abstract Urbanization and its problems require an in-depth and comprehensive understanding of urban dynamics, especially the complex and diversified lifestyles in modern cities. Digitally acquired data can accurately capture complex human activity, but it lacks the interpretability of demographic data. In this paper, we study a privacy-enhanced dataset of the mobility visitation patterns of 1.2 million people to 1.1 million places in 11 metro areas in the U.S. to detect the latent mobility behaviors and...