Traffic Skewness-aware Performance Analysis of Dual-powered Green Cellular Networks
Traffic Skewness-aware Performance Analysis of Dual-powered Green Cellular Networks
复制标题
双电源绿色蜂窝网络的流量偏度感知性能分析
DOI：
--
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Li
中科院分区：
文献类型：
--
作者：
Ashutosh Balakrishnan;S. De;Li
太阳能和电网连接的绿色蜂窝网络因其低碳足迹和提供不间断服务的成本效益而变得越来越有吸引力。在本文中，我们分析了这种双功率多小区网络在不同基站(BS)之间存在业务负载倾斜的情况下的性能。小区覆盖是在网络设计阶段基于跨越多小区覆盖区域的各个区域的长期平均业务强度来确定的。在不同小区间流量负荷偏斜度动态变化的情况下，我们建议调整小区覆盖范围以适应小区内流量和能量利用率的不平衡，同时通过电网连接来满足为客户服务的剩余能量不足的需求。将采用所提出的基于覆盖调整的策略的网络服务提供商的成本与其中各个BS不经历任何小区覆盖调整并寻求提供最大网络性能的传统方法的成本进行比较。我们的分析和基于模拟的性能结果表明，使用我们提出的策略，服务提供商的网络性能以及金钱收益都显著提高。例如，在适度的流量偏斜度(30%)下，建议的策略可为运营商带来约4%的年利润收益，同时在高峰时段平均多为约8%的用户提供服务。在非常高的偏斜度(80%)下，这些数字分别约为50%和39%。
Solar-powered and power grid connected green cellular networks are becoming attractive due to low carbon footprint and cost-effectiveness in providing uninterrupted service. In this paper, we analyze the performance of such dualpowered multi-cell network in presence of skewed traffic load across the different base stations (BSs). Cell coverage is decided at the network design stage based on long-term average traffic intensity across the various regions of a multi-cell coverage area. In presence of dynamically-changing skewness of traffic loads across different cells, we propose to adjust the cell coverage to accommodate the traffic and energy availability imbalance in the cells, while the demand for residual energy deficiency for serving the customers is fulfilled through the power grid connectivity. Network service provider’s cost with the proposed coverage adjustment based strategy is compared with that of the conventional approach where the individual BSs do not undergo any cell coverage adjustment and seek to provide the maximum network performance. Our analysis and simulation-based performance results demonstrate, that the network performance as well as monetary gains of the service provider are significantly higher with our proposed strategy. For example, at a moderate (30%) traffic skewness, the proposed strategy offers about 4% gain in operator’s annual profit, while serving about 8% more users on average at the peak hour. At a very high (80%) skewness, these numbers are respectively about 50% and 39%.