Adaptive Cell Zooming and Sleeping for Green Heterogeneous Ultradense Networks
Adaptive Cell Zooming and Sleeping for Green Heterogeneous Ultradense Networks
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DOI：
10.1109/tvt.2017.2749058
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发表时间：
2018-02-01
影响因子：
6.8
通讯作者：
Sun, Yan
中科院分区：
文献类型：
--
作者：
Xu, Xiaodong;Yuan, Chunjing;Sun, Yan
随着小型小区的密集部署，异构超密集网络（H-UDN）面临着新的挑战。为了满足H-UDN中用户的流量需求，提高网络能量效率，研究了自适应小区缩放策略，通过调整小区覆盖范围来实现最优的用户关联。然后，小区休眠方案被进一步应用于关闭轻业务负载小区以用于基站（BS）功率节省。我们定义了小区缩放因子（CZF）来表示小区覆盖，它是一个封闭形式的表达式与小小区和宏小区密度的关系。推导了典型小区的用户关联概率，该概率与发射功率和CZF有关。我们应用博弈论优化的基础上减少面积功耗的CZF。基于鼓励用户与小小区关联以降低传输功率消耗的事实，进一步应用小小区休眠方案以提高网络能量效率，同时可以将休眠的小小区用户卸载到宏小区。定义并推导了不同睡眠阈值影响下的睡眠概率。我们优化的阈值，最大限度地节能性能。仿真结果验证了休眠阈值存在一个优化值。
With the increasingly dense-deployed small cells, the heterogeneous ultradense network (H-UDN) now faces new challenges. In order to fulfill user traffic demand and improve network energy efficiency in H-UDNs, this paper researches on the adaptive cell zooming scheme to achieve the optimized user association through adjusting cell coverages. Then, the cell sleeping scheme is further applied to turn off light traffic load cells for base station (BS) power saving. We define the cell zooming factor (CZF) to express cell coverage, which is derived as a closed-form expression with the relationship of small cell and macro cell densities. The user association probability with one typical cell is also derived, where the probability is related with both the transmission power and CZF. We apply the game theory to optimize the CZF based on reduction of area power consumption. Based on the fact that users are encouraged to associate with small cells to reduce transmission power consumptions, the small cell sleeping scheme is further applied to improve the network energy efficiency, while the sleeping small cell users could be offloaded to macro cells. The sleeping probability is defined and derived with influences of different sleeping thresholds. We optimize the threshold with maximized energy saving performance. Simulation results verify that the sleeping threshold has an optimized value.