Dynamic eICIC — A Proactive Strategy for Improving Spectral Efficiencies of Heterogeneous LTE Cellular Networks by Leveraging User Mobility and Traffic Dynamics

Dynamic eICIC — A Proactive Strategy for Improving Spectral Efficiencies of Heterogeneous LTE Cellular Networks by Leveraging User Mobility and Traffic Dynamics
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DOI:
10.1109/twc.2013.081413.121651
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发表时间:
2013-10
影响因子:
10.4
通讯作者:
S. Vasudevan;Rahul N. Pupala;K. Sivanesan
S. Vasudevan;Rahul N. Pupala;K. Sivanesan
中科院分区:
计算机科学1区
文献类型:
--
作者:
S. Vasudevan;Rahul N. Pupala;K. Sivanesan

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增强小区间干扰协调(EICIC)是一种用于提高传统同信道异质网络(HetNets)性能的时域多路复用技术。EICIC提供了几个好处,包括在宏微小区和嵌入式微微小区之间更公平地分配用户流量(即负载平衡),进而导致更好的微微小区利用率和更好的边缘用户吞吐量。EICIC使用两种机制来实现负载均衡:(I)小区选择偏置以增加微微覆盖区域,使得微微小区能够吸引更多用户;以及(Ii)宏静音(几乎空白子帧,ABS)以提高范围扩展微微用户的SINR。蜂窝系统中的网络负载由于用户移动性和流量动态(用户等待的数据量不同-来自分组到达和最终离开)而不断变化。以前的工作没有考虑HetNet中动态变化的网络条件。因此,他们研究了通过静态优化eICIC参数而产生的eICIC相对于传统HetNet的好处。我们的方法是动态的,通过使HetNet持续优化以改善用户体验,通过调整ABS以响应网络负载的动态变化,进一步提高了性能。我们给出了几个解析公式,这些公式允许简单的优化和直观地理解期望的系统对负载变化的响应。详尽的系统仿真显示了不同维度的性能收益,如频谱效率、公平性、平均文件传输时间、文件传输次数、文件丢弃次数和平均队列长度。此外,我们还研究了不同的移动场景、流量混合和适配率对网络性能的影响。我们还简要讨论了在实现动态eICIC时的实际考虑事项。
Enhanced Inter-cell Interference Co-ordination (eICIC) is a time-domain multiplexing technique for improving the performance of legacy co-channel Heterogeneous Networks (HetNets). eICIC offers several benefits, including a more equitable distribution of user traffic across the macro and embedded pico cells (i.e., load balancing), in turn leading to better pico cell utilizations and better edge user throughputs. eICIC uses two mechanisms to achieve load balancing: (i) a cell selection bias to increase the pico coverage area, enabling the pico to attract more users, and (ii) macro muting ("Almost Blank Sub-frame", ABS) to improve SINRs of range extended pico users. Network load in the cellular system varies continuously as a result of user mobility and traffic dynamics (the varying amount of data pending for a user - arising from packet arrivals and eventual departures). Previous work did not consider dynamically changing network conditions in HetNets. Hence, they studied the benefits of eICIC over legacy HetNets arising from static optimization of eICIC parameters. Our approach is dynamic, and further improves performance by keeping the HetNet continuously optimized for improved user experience, by adapting the ABS in response to dynamic variations in network load. We present several analytical formulations, which allow for simple optimizations and an intuitive understanding of the desired system response to load variation. Exhaustive system simulations illustrate the performance gains along different dimensions, such as spectral efficiency, fairness, mean file transfer times, number of file transmissions, number of file drops, and mean queue lengths. Furthermore, we study the impact of different mobility scenarios, traffic mixes, and adaptation rate. We also provide a brief discussion of practical considerations in implementing Dynamic eICIC.