Online Probabilistic Activation Control of Base Stations Utilizing Temporal System Throughput and Activation States of Neighbor Cells

• Published in: 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) pp. 1 - 5
• Main Authors: Tani, Junya, Higuchi, Kenichi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.09.2021
• Subjects: Base stations; Intercell interference; Iterative methods; Probabilistic logic; System performance; Throughput; Vehicular and wireless technologies
• ISSN: 2577-2465
• DOI: 10.1109/VTC2021-Fall52928.2021.9625280

In this paper, we propose an online probabilistic activation/deactivation control method for base stations (BSs) based on the temporal system throughput and activation states of neighbor BSs (cells) in heterogeneous networks. The conventional method iteratively updates the activation/deactivation states in a probabilistic manner at each BS based on the change in the observed system throughput and activation/deactivation states of that BS between past multiple consecutive discrete times. Since the BS activation control increases the system throughput by improving the tradeoff between the reduction in inter-cell interference and the traffic off-loading effect, the activation of a BS whose neighbor BSs are deactivated is likely to result in improved system performance and vice versa. The proposed method newly introduces a metric, which represents the effective ratio of the activated neighbor BSs considering their transmission power and distance to the BS of interest, to the update control of activation probability. This improves both the convergence rate of the iterative algorithm and the performance after convergence. Computer simulation results, in which the mobility of the user terminals is taken into account, show the effectiveness of the proposed method.