5G异构超密度网络中吞吐量与覆盖的联合优化

Power Control-based joint optimal for throughput and coverage in Heterogeneous Ultra-Dense Networks

为了权衡5G异构超密度网络(Heterogeneous Ultra-Dense Networks,HUDN)中系统吞吐量最大化与覆盖优化间的冲突,提出基于功率控制的吞吐量和覆盖的联合优化(CJTC)算法。首先,推导系统吞吐量最大化的目标函数,再通过凸优等式转换,求解实现吞吐量最大化的基站发射功率;然后,推导切换失败率最小化的覆盖优化的目标函数,再利用扩展技术,并通过迭代联合求解最优的基站发射功率。仿真结果表明,提出的CJTC算法的吞吐量和覆盖方面的性能优于同类算法。

A power Control-based Joint optimal for Throughput and Coverage(CJTC)algorithm is proposed in order to balance the conflict between system throughput maximization and coverage optimization in 5G Heterogeneous Ultra-Dense Networks(HUDN).Firstly,the objective function of throughput maximization is derived,and the transmission power of the base station to achieve throughput maximization is solved by convex optimal equation conversion.Then,the objective function of coverage optimization with minimum switching failure rate is derived,and the optimal transmission power of the base station is obtained by iterative joint solution with extension technique.Experimental results show that the proposed CJTC algorithm is superior to other CJTC algorithms in throughput and coverage.