期刊文献+

基于遗传算法的分时长期演进(TD-LTE)多目标站址选址方法 被引量:3

Multi-target Sites Selection Method Based on Genetic Algorithmin TD-LTE System
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摘要 为了有效地扩大基站无线覆盖范围,吸收更多的用户和话务量,降低建设成本,提高收益,实现科学的基站选址,提出了一种适应于分时长期演进(time division long term evolution,TD-LTE)网络的高效的、智能的4G无线网络规划方法,通过综合考虑4G网络的同频干扰、正交频分复用(OFDM)、小区边缘速率、参考信号强度(RSRP)和基站站址密度等,建立一个以建设成本、覆盖率和容量为目标的多目标组合优化规划模型;并采用加入局部搜索的遗传算法进行智能求解。仿真结果表明该模型不但能够求出以最少的成本建设最大覆盖的网络方案,而且能够求出每个建设基站的天线类型、天线挂高和小区类型;同时加入局部搜索后的算法速度得到明显的提高。 In order to expand the base station radio coverage, absorb more users and traffic, reduce construction costs and Increase revenue effectively, efficient and intelligent 4G wireless network plan method which adapted to TD-LTE network is proposed.. After frequency interference, orthogonal frequency division multiplexing (OFDM) , the cell edge rate, the reference signal intensity (RSRP) and base station site density of 4G network are consid- ered, the multi-targeting objective combinatorial optimization programming model is built. Genetic algorithms which contained local search is used to solve model. Simulation results show that the model can not only find the least cost to build the largest network coverage programs, but can obtain for each building base station antenna type, antenna height and cell types. At the same time with the help of local search, algorithm speed has been significantlye increased.
出处 《科学技术与工程》 北大核心 2014年第7期29-33,44,共6页 Science Technology and Engineering
基金 国家自然科学基金(61131001 51375052) 广东佛山顺德科技项目(20120202088)资助
关键词 TD—LTE网络 网络规划 多目标 遗传算法 TD-LTE network network plan mlti-objective genetic algorithm
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参考文献13

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