Abstract
This paper proposes a green deployment method for micro base stations for ultra-dense heterogeneous cellular networks to balance network energy efficiency and electromagnetic radiation and meet certain user service quality. Firstly, a constrained multi-objective mathematical model for the green deployment of the micro base station is established for the two-dimensional communication scenario, with the user rate as the constraint, aiming at maximizing the network energy efficiency and minimizing the average electromagnetic radiation. Then, a multi-objective dolphin swarm algorithm which considering the evolutionary advantages of excellent infeasible solutions and feasible solutions, improving the individual search mechanism in the dolphin group algorithm, combined with the improved two-population strategy is proposed and tested on the CTP test set. It shows that compared with the other three methods, the method has certain advantages in convergence and distribution. Finally, a green deployment method for micro base stations based on constrained multi-objective dolphin swarm algorithm is established. Experiments on nine communication scenarios show that the proposed method can balance network energy efficiency and electromagnetic radiation.
Highlights
Ultra-dense heterogeneous cellular networks (UDHCN) are one of the key technologies of 5G [1]
The network energy efficiency obtained by the distribution; for the same reason, Sk is the average electromagnetic radiation intensity under the k-th user distribution, and the calculation method is as shown in (6); S is the electromagnetic radiation intensity obtained by comprehensively considering all user distributions; Ck (u, n) is the user rate of the user u communicating with the base station n under the kth distribution; Ck is the user rate at which only the macro base station is deployed under the kth distribution; and λ is the rate multiplier of the expected boost
For any number of micro base stations, the CMDSA optimized network energy efficiency is better than the B algorithm, and when the number of micro base stations is around 30, the energy efficiency of the algorithm network is the largest, the energy efficiency of the B algorithm is improved by 8.7%, and the network energy efficiency can be increased by 18.19%
Summary
Ultra-dense heterogeneous cellular networks (UDHCN) are one of the key technologies of 5G [1]. The mathematical model is used to build the least energy consumption model This method can get better base station deployment, but for the management of large-scale network base stations the algorithm has a poor response speed. The specific work is as follows: Firstly, with reference to the established single network energy efficiency model and electromagnetic pollution model that meet the actual communication scenario, a mathematical model for the green deployment of micro base stations is established. A two-stage green deployment method for micro base stations based on constrained multi-objective dolphin swarm algorithm is proposed. The simulation of the communication scenario including low load, medium load and high load shows that the proposed deployment method has certain advantages in network energy efficiency, electromagnetic radiation and user speed.
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