Dynamic sleep strategy for gNBs in ultra-dense networks based on multilevel sleep modes and load-balancing associations

Dechuang Lei; Hongxian Tian

doi:10.1117/12.3035158

7 August 2024 Dynamic sleep strategy for gNBs in ultra-dense networks based on multilevel sleep modes and load-balancing associations

Dechuang Lei, Hongxian Tian

Author Affiliations +

Proceedings Volume 13224, 4th International Conference on Internet of Things and Smart City (IoTSC 2024); 1322417 (2024) https://doi.org/10.1117/12.3035158
Event: 4th International Conference on Internet of Things and Smart City, 2024, Hangzhou, China

Abstract

To address the dynamic characteristics of current network traffic demand, we first introduce a multilevel sleep mode for gNBs to enhance the flexibility and responsiveness of ultra-dense networks. We synthesize the global load of the network and propose a Cell association strategy based on load and energy efficiency (CALAE). We combine CALAE algorithms into the Dynamic sleep strategy based on multilevel sleep modes (DSBM) proposed in this paper. The DSBM algorithm can perform the cell association through the CALAE algorithm, and dynamically adjust the gNBs' operating state and sleep depth to minimize system power consumption and delay. The simulation results show that the DSBM algorithm proposed in this paper can effectively reduce the system power consumption and the transition delay of gNBs to meet the service demand of users.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dechuang Lei and Hongxian Tian "Dynamic sleep strategy for gNBs in ultra-dense networks based on multilevel sleep modes and load-balancing associations", Proc. SPIE 13224, 4th International Conference on Internet of Things and Smart City (IoTSC 2024), 1322417 (7 August 2024); https://doi.org/10.1117/12.3035158

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