Network Slicing Resource Allocation and Power Control Strategies from Single-Base-Station to Multi-Base-Station Scenarios

DOI: https://doi.org/10.62517/jbdc.202501405

Author(s)

Siheng Yang, Yiqing Zhang, Zihe Yang, Zhenting Chen*

Affiliation(s)

School of Artificial Intelligence, Guangzhou Huashang College, Guangzhou, Guangdong, China *Corresponding Author

Abstract

This paper addresses wireless resource management challenges in 5G heterogeneous cellular networks with network slicing, developing optimization models to maximize user QoS and control energy consumption for URLLC, eMBB, and mMTC slices under MBS and SBS deployment. For problem one (single micro base station static allocation), a nonlinear integer programming utility maximization model with branch-and-bound method yields optimal RB allocation (12, 28, 10 for the three slices), improving total utility by 18% vs average allocation. For problem two (single base station dynamic tasks and channel fluctuations), a dual-factor driven QoS closed-loop model dynamically allocates RBs every 100ms based on real-time data, achieving over 92% QoS compliance after 10 cycles. For problem three (multi-micro base station co-channel interference), a three-stage framework with triple-band reuse, greedy RB assignment, and 30dBm uniform power achieves overall QoS linear growth to 823.6. All solutions meet constraints, show provide a systematic 5G/6G slicing solution balancing performance and efficiency.

Keywords

QoS Closed-Loop Optimization; Joint Optimization of Resources and Power; Branch and Bound Method; Heterogeneous Network

References

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