Analysis of Area Spectral & Energy Efficiency in a CoMP-Enabled User-Centric Cloud RAN
Analysis of Area Spectral & Energy Efficiency in a CoMP-Enabled User-Centric Cloud RAN
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DOI：
10.1109/tgcn.2021.3093390
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发表时间：
2021-06
影响因子：
4.8
通讯作者：
Shahrukh Khan Kasi;U. Hashmi;M. Nabeel;S. Ekin;A. Imran
中科院分区：
文献类型：
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作者：
Shahrukh Khan Kasi;U. Hashmi;M. Nabeel;S. Ekin;A. Imran
在本文中，我们考虑通过使用分布式数据基站（DBS）在以用户为中心的基于云的无线电接入网络（UCRAN）的协调多点传输（CoMP）。与传统蜂窝架构相反，以用户为中心的非重叠虚拟小区（或服务区）的创建将操作模式从以基站为中心的“始终开启”小区转移到以用户为中心的“按需小区”。与现有文献相比，我们表明，CoMP仅在存在小区边缘用户的网络架构中有益。在UCRAN架构中，由于非重叠的以用户为中心的小区，小区边缘用户实际上被移除，通过启用CoMP提供的性能增益是微不足道的。我们分析这一点，通过执行一个比较性能分析的UCRAN与不同的联合传输方案的CoMP。我们还提供了全网络的覆盖概率，区域频谱效率和能源效率的解析表达式，利用随机几何工具。此外，我们研究了新的自由度，如服务区的大小和密度的数据基站的频谱和能源效率的CoMP使能的UCRAN的影响。大量的Monte Carlo模拟验证了所提出的分析框架，并为下一代蜂窝架构的设计提供了有用的见解。
In this paper, we consider coordinated multipoint transmission (CoMP) by using distributed data base stations (DBSs) in a User-centric Cloud-based Radio Access Network (UCRAN). The creation of non-overlapping virtual cells (or service zones) centered around a user, contrary to traditional cellular architecture, shifts the mode of operation from base station centric “always ON” cells to user-centric “on-demand cells.” In contrast to existing literature, we show that CoMP is only beneficial in network architectures where cell-edge users are present. In a UCRAN architecture, where the cell-edge users are virtually removed due to non-overlapping user-centric cells, the performance gain provided by enabling CoMP is insignificant. We analyze this by performing a comparative performance analysis of UCRAN with different joint transmission schemes of CoMP. We also provide analytical expressions for network-wide coverage probability, area spectral efficiency, and energy efficiency by taking advantage of the stochastic geometry tools. Additionally, we investigate the impact of new degrees of freedom such as the size of the service zones and density of data base station on the spectral and energy efficiencies of CoMP-enabled UCRAN. Extensive Monte Carlo simulations validate the proposed analytical framework as well as provide useful insights into the design of next-generation cellular architectures.