5G智能增强型能效优化技术

5G Intelligent Enhanced Energy Efficiency Optimization Technology

全球化能源危机和环境问题使得能源效率成为无线通信设备的一个核心指标。能源效率最大化已上升到国家战略层面,成为全球范围内的研究热点。针对现有能效优化模型普遍存在的计算复杂度高和效率低的问题,提出智能增强型全局优化策略。基于信道状态信息对大规模MIMO系统进行收发两端的分布式重构处理,得到不同信道状态条件下高效的多维资源融合配置方法,并进一步考虑信道误差问题,建立多维资源配置的能效优化模型。利用拟牛顿最优化方法,可解决该能效模型的多元全局最优化问题,并设计了基于拟牛顿法的智能增强型能效优化方案。仿真结果验证了利用拟牛顿算法实现多元全局优化的可行性,且拟牛顿算法智能搜索得到的最佳能效值与理论最佳能效值仅相差3%。

Global energy crisis and environmental problems have made energy efficiency a core index of wireless communication equipment.The maximization of energy efficiency has risen to the level of national strategy and become a global research hotspot.In this paper,an intelligent enhanced global optimization strategy is proposed to solve the problem of high computational complexity and low efficiency in existing energy efficiency optimization models.Based on the channel state information,the distributed reconstruction of the two ends of the transceiver of the massive Multiple Input Multiple Output(MIMO)system is carried out,and the efficient multidimensional resource fusion configuration method under the channel state condition is obtained.Furthermore,the efficiency optimization model of multi-dimensional resource allocation is established.The Quasi-Newtonian optimization method is proved and deduced to solve the multiple global optimization problem of the energy efficiency model,and the intelligent enhanced energy efficiency optimization scheme based on Quasi-Newtonian method is designed.The simulation results verify the feasibility of using Quasi-Newton algorithm to realize multiple global optimizations,and the optimal energy efficiency obtained by the Quasi-Newton algorithm is only 3%different from the actual optimal energy efficiency value.