物理学报2017，Vol.66Issue(23)：前插1,1-8,9.DOI:10.7498/aps.66.230101
基于休眠机理的三维小基站蜂窝网络能效优化
Energy efficiency optimization in three-dimensional small cell networks based on dormant strategy
摘要
Abstract
Wireless cellular networks all over the world are undergoing a profound transformation evolving from voice-oriented to data networks. Larger coverage area, better service quality, and lower energy cost are the key issues in the deployment of cellular networks. To achieve these goals, small cells, such as the femtocells and picocells, have become an important part of the current 4G and future 5G wireless cellular networks. Generally speaking, small cell networks are deployed according to the peak traffic load, which causes energy waste during low traffic periods. Against this background, energy efficiency optimization has become one of the research hotspots in wireless communications. In this paper, we focus on the energy efficiency problem in small cell networks in which a large number of small cells are spatially deployed in dense urban areas such as office buildings and shopping malls. We optimize the energy efficiency through small cell dormant mechanism under the constraints of average connection ratio (ACR) and average downlink channel capacity. First, we derive the mathematical expressions for average downlink channel capacity and ACR in three-dimensional (3D) small cell networks by Poisson point process (PPP) theory. Second, the monotonicities of channel capacity and ACR are analyzed in detail. Then, based on the results of monotonicity analysis, the optimal small cell dormant probability is calculated to satisfy the constraints of ACR and average downlink channel capacity respectively. Finally, we formulate a network energy consumption minimization problem subject to the constraints of ACR and channel capacity to determine the dormant probability. In addition, we also formulate an optimal maximum connection number of small cells, which minimizes the energy consumption subject to the joint constraints of ACR and channel capacity. Numerical results show that our 3D PPP model is more accurate than the traditional two-dimensional (2D) one in both channel capacity and ACR performance, and that the energy consumption of small cell networks can be reduced by about 21% of the total energy consumption with the dormant strategy in this paper. More importantly, the optimal dormant probability and appropriate configuration of the maximal number of connection can be effectively used to design small cell dormant strategy for 3D small cell networks.关键词
小基站蜂窝网络/能量效率/休眠机理/泊松点过程Key words
small cell networks/energy efficiency/dormant strategy/Poisson point process引用本文复制引用
潘子宇,胡晗,杨洁..基于休眠机理的三维小基站蜂窝网络能效优化[J].物理学报,2017,66(23):前插1,1-8,9.基金项目
南京工程学院青年基金 (批准号: QKJA201505)、南京工程学院平台及实验室专项 (批准号: PTKJ201603)、国家自然科学基金青年科学基金 (批准号: 61401225) 和江苏省自然科学基金青年基金 (批准号: BK20140894, BK20160781) 资助的课题.Project supported by the Youth Foundation of Nanjing Institute of Technology, China (Grant No. QKJA201505), the Platform and Laboratory of Nanjing Institute of Technology, China (Grant No. PTKJ201603), the Young Scientists Fund of the National Natural Science Foundation of China (Grant No. 61401225), and the Young Scientists Fund of Natural Science Foundation of Jiangsu Province, China (Grant Nos. BK20140894, BK20160781). （批准号: QKJA201505）
